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Data Mining in Finance - How is Data Mining Affecting Society?
 
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Title of Project/Presentation: Data Mining in Finance - How is Data Mining Affecting Society? Individual Subtopic: Finance Abstract of Presentation/Paper: In today’s society a vast amount of information is being collected daily. The collection of data has been deemed useful and is utilized by many sectors to include finance, health, government, and social media. The finance sector is vast and is implemented in things such as: financial distress prediction, bankruptcy prediction, and fraud detection. This paper will discuss data mining in finance and its association with globalization and ethical ideologies. Description of tools and techniques used to create the presentation: Power Point http://screencast-o-matic.com/
Views: 727 Gregory Rice
Intoduction to Financial Modeling | Financial Modeling Tutorial | What is Financial Modeling
 
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This Financial Modeling tutorial helps you to learn financial modeling with examples. This video is ideal for beginners to learn the basics of financial modeling. To attend a live session, click here: http://goo.gl/0vZIOF This video helps you learn: • Why Financial Modeling ? • Course Benefits • Who should take this course ? • Case: Beta calculation • Estimating the cost of equity The topics related to 'Financial Modeling' have been widely covered in our course. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (Toll Free) or India: +91-8880862004
Views: 89453 edureka!
How to become a Data Analyst in India - Course and career
 
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This video discuss How to become a data analyst in India. For more videos on Jobs &Careers :https://www.youtube.com/channel/UCEFTTJFLp4GipA7BLZNTXvA?view_as=subscriber For aptitude classes :https://www.youtube.com/watch?v=lxm6ez2cx6Y&list=PLjLhUHPsqNYnM1DmZhIbtd9wNhPO1HGPT Every business collects data such as sales figures, market research, logistics, or transportation costs. A data analyst's job is to take that data and analyse it to help companies make better business decisions. Some examples of a data analyst basic job functions include: 1) estimating market shares; 2) establishing a price of new materials for the market; 3) reducing transportation costs; 4) timing of sales and 5) figuring out when to hire or reduce the workforce.Data analysts are responsible for collecting, manipulating, and analyzing data. How To Get There? By obtaining a university degree, learning important analytical skills, and gaining valuable work experience, you can become a successful data analyst. A bachelor's degree is needed for most entry-level jobs, and a master's degree will be needed for many upper-level jobs. To become an initial level data analyst, you’ll have to earn a degree in a subject such as mathematics, statistics, economics, marketing, finance, or computer science. Higher level data analyst jobs may require a master’s or doctoral degree, and they usually guarantee higher pay. Individuals looking for data analyst jobs must be knowledgeable in computer programs such as Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data analysts also must have good communication skills, as they must have an open line of communication with the companies with which they work. Lets see some of the Best courses on Analytics offered in India. 1. Advanced Analytics for Management – IIM This program enables practitioners, managers, and decision-makers to use advanced analytics for better decision-making 2. Analytics Essentials – IIIT, Bangalore “Analytics Essentials”is a 3 months week-end program by International Institute of Information Technology Bangalore (IIITB)providing a foundational certification course in Business Analytics 3. Business Analytics and Intelligence (BAI) – IIM Bangalore This course provides in-depth knowledge of handling data and Business Analytics’ tools that can be used for fact-based decision-making. The participants will be able to analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and finance, sports, pharmaceutical, aerospace etc. 4. Certificate Program in Business Analytics – ISB, Hyderabad A combination of classroom and Technology aided learning platform, .Participants will typically be on campus for a 5 day schedule of classroom learning every alternate month for a span of 12 months, which would ideally be planned to include a weekend. 5. Data Analysis Online courses – SRM University SRM University offers part time online courses in data analysis in collaboration with Coursera, edX, Udacity. 6. Executive Program in Business Analytics – IIM Calcutta This executive 1 year long distance program is designed to expose participants to the tools and techniques of analytics. The program covers topics such as Data Mining, Soft Computing, Design of Experiments, Survey Sampling, Statistical Inference, Investment Management, Financial Modelling, Advanced marketing Research etc. 7. Executive Program in Business Analytics and Business Intelligence – IIM Ranchi Course duration is 3 months. Classes will be conducted by eminent professors and industry experts in the weekends in Mumbai/ Kolkata /Delhi /Bengaluru and in addition to these, there will be one-week learning in IIM Ranchi. 8. Jigsaw Academy courses Jigsaw Academy provides some online analytics courses.Their courses include; Foundation Course in Analytics Data Science Certification Human Resources (HR) Analytics Course Big Data Analytics Using Hadoop and R Advanced Certification in Retail Analytics Advanced Course in Financial Analytics Analytics with R Great Lakes PG Course in Business Analytics 9. M. Tech. Computer Science and Engineering with Specialization in Big Data Analytics – VIT VIT offers full time course in Big Data analysis to promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics 10. M.Tech (Database Systems) – SRM University SRM University offers a two year full time course in database systems where the students are exposed to theoretical concepts complemented by related practical experiments. 11. M.Tech Computer Engineering and Predictive Analytics – Crescent Engineering College Salary The Salary of Data analysts depends on job responsibilities. An entry-level data analyst with basic technical tools might be looking at anything from Rs. 5 lakhs to 12 lakhs per year. A senior data analyst with the skills of a data scientist can command a high price. #dataanalyst #careeroptions #datascience
Python For Data Analysis | Python Pandas Tutorial | Learn Python | Python Training | Edureka
 
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( Python Training : https://www.edureka.co/python ) This Edureka Python Pandas tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you learn the basics of Pandas. It also includes a use-case, where we will analyse the data containing the percentage of unemployed youth for every country between 2010-2014. This Python Pandas tutorial video helps you to learn following topics: 1. What is Data Analysis? 2. What is Pandas? 3. Pandas Operations 4. Use-case Check out our Python Training Playlist: https://goo.gl/Na1p9G Subscribe to our channel to get video updates. Hit the subscribe button above. #Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners #PythonProgramming #PythonPandas How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 143451 edureka!
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 905257 David Langer
Вебинар «Практические задачи Data Mining: проблемы и решения»
 
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Вебинар посвящен современным подходам и стратегиям применения методов Data Mining для решения актуальных задач в различных областях: бизнесе/маркетинге, финансах, банковской области, телекоммуникациях и др. http://www.statsoft.ru/products/STATISTICA_Data_Miner/
Views: 2051 StatSoftRussia
Business Analytics Specialization
 
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The Business Analytics Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. Learn more about this specialization at online.wharton.upenn.edu/programs.
Views: 686 Wharton School
Course Spotlight: Data Science Specialization
 
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Professor Roger Peng describes the sequence of topics in the Data Specialization from Johns Hopkins University
Views: 5445 Coursera
Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary
 
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Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary In this video we will explained Big Data and We will also explain how you can make career in it. So Do Like it Share it and Subscribe the channel for more such updates related to Education, Opinions and Interesting Facts. ►Ethical Hacking Details - https://www.youtube.com/watch?v=o0_janBsLso ✔ ►Digital Marketing Details - https://www.youtube.com/watch?v=r1suKCHLmXo&t=36s ✔ ►Top Online Website for Learning - https://www.youtube.com/watch?v=Xcm1iPiUJxo ✔ WATCH OUR BEST VIDEOS RELATED TO EDUCATION ►Everything About MBA in India - https://goo.gl/wGD8NM ✔ ►Top College Rankings - https://goo.gl/LEFzun ✔ ►All about Investment Banking - https://goo.gl/Hk1rix ✔ ►Financial Certification in Hindi - https://goo.gl/sKPqod ✔ ►Internship and Apprenticeship Video in Hindi - https://goo.gl/RCBqBY ✔ ►MCA Course Detail Hindi - https://goo.gl/bxntn3 ✔ ►After 12th Best Courses for Science, Commerce and Arts - https://goo.gl/rVMcTR ✔ ►BCA Course Related Video in Hindi - https://goo.gl/wsCM2G ✔ ►BTech Course Related Video in Hindi - https://goo.gl/DqvfGF ✔ ►Fastest and Easiest Way to Learn English - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔ ► How to Get Education LOAN in INDIA - https://www.youtube.com/watch?v=DoluUHBZ1zw ✔ ► MBA INDIA VS MBA ABROAD - WHICH IS BEST ? - https://www.youtube.com/watch?v=ufgd8pkvtjE ✔ ► Highest Paying Careers in India - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔ WATCH OUR BEST VIDEOS RELATED TO INTERESTING FACTS & OPINIONS [HINDI] ►Padmavati controversy in 5 minutes :- https://www.youtube.com/watch?v=ar_orIiwQqU&t=2s ✔ ►North Korea vs USA Nuclear War :- https://www.youtube.com/watch?v=HrJkIqc3lB8&t=1s ✔ ►Kamlesh Viral Video Truth :- https://www.youtube.com/watch?v=J-t0u81Tpt0&t=2s ✔ ►Dangal Girl Zaira Wasim Issue :- https://www.youtube.com/watch?v=j9z7MHSKG14&t=28s ✔ ►Countries where Education is free for Indians - https://www.youtube.com/watch?v=qDNG6H5qRA0&t=2s ✔ BUY OUR RECORDING GEAR AT DISCOUNTED PRICES:- External Recording Blue Mic -http://amzn.to/2ynJOSn My Nikon Dslr d5600 - http://amzn.to/2ynN7sV My Collar Mic- http://amzn.to/2x3LAEf ABOUT US :- Praveen Dilliwala is a youth oriented Review Channel Where you will get Videos related to Education,Opinions, Jobs, Motivational, Interesting Facts and also I will share my experience about these things. Our Motto is to provide unbiased and right information so that you make informed decision. Follow us on : Facebook - https://www.facebook.com/PraveenDilliwala Twitter - https://twitter.com/praveendiliwala Instagram - https://www.instagram.com/praveendilliwala Google Plus - https://plus.google.com/u/0/113602971119506935594
Views: 55099 Praveen Dilliwala
Data analyst scope & Jobs
 
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Transitioning to the field of Data Analytics may not sound easy to do - given the nature of the career and how highly technical the domain is. But we bring to you a plan that will make the transition as smooth as possible. Every business collects data such as sales figures, market research, logistics, or transportation costs. A data analyst's job is to take that data and analyse it to help companies make better business decisions. Some examples of a data analyst basic job functions include: 1) estimating market shares; 2) establishing a price of new materials for the market; 3) reducing transportation costs; 4) timing of sales and 5) figuring out when to hire or reduce the workforce.Data analysts are responsible for collecting, manipulating, and analyzing data. How To Get There? By obtaining a university degree, learning important analytical skills, and gaining valuable work experience, you can become a successful data analyst. A bachelor's degree is needed for most entry-level jobs, and a master's degree will be needed for many upper-level jobs. To become an initial level data analyst, you’ll have to earn a degree in a subject such as mathematics, statistics, economics, marketing, finance, or computer science. Higher level data analyst jobs may require a master’s or doctoral degree, and they usually guarantee higher pay. Individuals looking for data analyst jobs must be knowledgeable in computer programs such as Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data analysts also must have good communication skills, as they must have an open line of communication with the companies with which they work. Lets see some of the Best courses on Analytics offered in India. 1. Advanced Analytics for Management – IIM This program enables practitioners, managers, and decision-makers to use advanced analytics for better decision-making 2. Analytics Essentials – IIIT, Bangalore “Analytics Essentials”is a 3 months week-end program by International Institute of Information Technology Bangalore (IIITB)providing a foundational certification course in Business Analytics 3. Business Analytics and Intelligence (BAI) – IIM Bangalore This course provides in-depth knowledge of handling data and Business Analytics’ tools that can be used for fact-based decision-making. The participants will be able to analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and finance, sports, pharmaceutical, aerospace etc. 4. Certificate Program in Business Analytics – ISB, Hyderabad A combination of classroom and Technology aided learning platform, .Participants will typically be on campus for a 5 day schedule of classroom learning every alternate month for a span of 12 months, which would ideally be planned to include a weekend. 5. Data Analysis Online courses – SRM University SRM University offers part time online courses in data analysis in collaboration with Coursera, edX, Udacity. 6. Executive Program in Business Analytics – IIM Calcutta This executive 1 year long distance program is designed to expose participants to the tools and techniques of analytics. The program covers topics such as Data Mining, Soft Computing, Design of Experiments, Survey Sampling, Statistical Inference, Investment Management, Financial Modelling, Advanced marketing Research etc. 7. Executive Program in Business Analytics and Business Intelligence – IIM Ranchi Course duration is 3 months. Classes will be conducted by eminent professors and industry experts in the weekends in Mumbai/ Kolkata /Delhi /Bengaluru and in addition to these, there will be one-week learning in IIM Ranchi. 8. Jigsaw Academy courses Jigsaw Academy provides some online analytics courses.Their courses include; Foundation Course in Analytics Data Science Certification Human Resources (HR) Analytics Course Big Data Analytics Using Hadoop and R Advanced Certification in Retail Analytics Advanced Course in Financial Analytics Analytics with R Great Lakes PG Course in Business Analytics 9. M. Tech. Computer Science and Engineering with Specialization in Big Data Analytics – VIT VIT offers full time course in Big Data analysis to promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics 10. M.Tech (Database Systems) – SRM University SRM University offers a two year full time course in database systems where the students are exposed to theoretical concepts complemented by related practical experiments. 11. M.Tech Computer Engineering and Predictive Analytics – Crescent Engineering College Salary The Salary of Data analysts depends on job responsibilities. An entry-level data analyst with basic technical tools might be looking at anything from Rs. 5 lakhs to 12 lakhs per year. A senior data analyst with the skills of a data scientist can command a high price.
Views: 47 STUDENT WINDOW
Start your future today: Build in-demand career skills on Coursera
 
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Coursera offers over 1000 affordable online courses from the world’s best universities. Transform your career with skills in business, computer science, data science, and more; join for free to start learning today.
Views: 1208702 Coursera
Coursera Statistical Inference Week 1 Quiz - Random Variables
 
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www.Stats-Lab.com | Coursera Data Science Specialization | Statistical Inference Advised to use Full Screen Mode
Views: 1580 Dragonfly Statistics
Process Mining with ProM - free online course at FutureLearn.com
 
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Sign up now at http://bit.ly/2rUYp0u 'Process Mining with ProM' is a free online course by Eindhoven University of Technology on FutureLearn.com Process mining is a relatively new and exciting field which combines business process management with data science. Using process mining techniques you can analyse and visualise business processes based on event data recorded in event logs. Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. #FLProM At FutureLearn, we want to inspire learning for life. We offer a diverse selection of free, high quality online courses from some of the world's leading universities and other outstanding cultural institutions. Browse all courses and sign up here: http://www.futurelearn.com
Views: 4107 FutureLearn
DATA MINING   3 Text Mining and Analytics   3 9 Latent Dirichlet Allocation LDA Part 1
 
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https://www.coursera.org/learn/text-mining
Views: 135 Ryo Eng
Univariate data analysis - 01 - Introduction
 
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These videos are part of the FREE online book, "Process Improvement using Data", http://yint.org/pid Related is the Coursera course, "Experimentation for Improvement". Join the course for FREE at http://yint.org/experiment
Views: 2140 Kevin Dunn
How to start a Business Analytics Career in India ? - Skills required, Pay scale, Job opportunities
 
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Get the latest interview tips,Job notifications,top MNC openings,placement papers and many more only at Freshersworld.com(www.freshersworld.com?src=Youtube). The major role of a BA is – data mining, statistical analysis, predictive modelling and multivariate test. Business Analytics career in India has emerged as the preferred role of choice in IT and ITES industries. The Business Analyst is also required to support decision making roles with real-time analysis. Business Analysts also work closely with the senior management and provide support in data-driven decision making that impacts matters related to product development to marketing. There is a continued strong demand for business analysts especially in India where candidates can land opportunities in IT and ITES industries. According to one article, India has at least 1.2 million business analysts and by 2020 India is pegged to have the highest number of business analysts. Some of the major sectors where Business Analysts have a promising start are retail, banking, healthcare, ecommerce, hospitality, manufacturing etc. Kick-start a Business Analytics career in India One of the most promising career paths in IT today, the job description for business analysts sometimes converge analytics and project management roles. If you are interested in a Business Analyst role, a background in mathematics and engineering is a must, backed by good analytical and communication skills. However, there are those who believe candidates with a business background can also make a career in BA. By upskilling themselves with short online courses, these candidates can also get a good grip on business analytics and start a career. Skills required by Business Analytics candidate: A Business Analyst should be proficient in applied statistics, have knowledge of statistical suite such as SAS, R, SPSS, should know SQL, Hive, knowledge of testibg framework and a working knowledge of BI tools such as Qlik, Tableau, Spot fire among others. Skills may vary depending on the organization’s requirement. However, this is a basic knowledge framework required for making the cut. How can candidates with a business background start a Business Analytics career? While most engineers gravitate towards the data engineering and information management field, candidates with a business background can easily transition into the Business Analyst role. MBA holders can sharpen their skills by a) enrolling in analytics courses, b) participating in mentoring sessions and boot camps to lands their dream job. And though companies don’t expect deep knowledge of tools, a basic understanding can help in landing the right job. Job opportunities for Business Analysts: From leading financial institutions, to consultancies such as Deloitte, E&Y, and global retailers Target, Walmart and online leader Amazon require Business Analytics professionals. Top Employers: Some of the top Business Analytics companies to work for are: • Tata Consultancy Services • Cognizant • Accenture • GENPACT • Wipro • Infosys • IBM • Deloitte • HPE Some of the startups that provide an excellent opportunity to pursue Business Analytics career are Fractal Analytics, Mu Sigma Analytics and Absolut Data. Pay scale: One of the most sought after jobs, business analysts have a rare blend of business and analytical skills and are rewarded with good pay packages. The average salary of senior business analyst is INR 8,59,025 per year. The average salary of BA is INR 6,44,857 per year. Download our app today to manage recruitment whenever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Business Data Analysis with Excel
 
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Lecture Starts at: 8:25 Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation where many of the tools in the analyst's tool belt (e.g., regression) aren't ideal for the task. Despite these challenges, proper analysis of business data represents a fundamental skill required of Business/Data Analysts, Product/Program Managers, and Data Scientists. At this meetup presenter Dave Langer will show how to get started analyzing business data in a robust way using Excel – no programming or statistics required! Dave will cover the following during the presentation: • The types of business data and why business data is a unique analytical challenge. • Requirements for robust business data analysis. • Using histograms, running records, and process behavior charts to analyze business data. • The rules of trend analysis. • How to properly compare business data across time, organizations, geographies, etc.Where you can learn more about the tools and techniques. *Excel spreadsheets can be found here: https://github.com/datasciencedojo/meetup/tree/master/business_data_analysis_with_excel **Find out more about David here: https://www.meetup.com/data-science-dojo/events/236198327/ -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8xWx0 See what our past attendees are saying here: https://hubs.ly/H0f8xGd0 -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 45921 Data Science Dojo
MOOC Financial Service
 
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Please watch this video
Views: 6 Santhiyavalli G
Lecture 1 — Intro to Crypto and Cryptocurrencies
 
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First lecture of the Bitcoin and cryptocurrency technologies online course. For the accompanying textbook, including the free draft version, see: http://bitcoinbook.cs.princeton.edu/ In this lecture (click the time to jump to the section): * Cryptographic hash functions 1:51 * Hash pointers and data structures 20:28 * Digital signatures 29:25 * Public keys as identities 39:04 * A simple cryptocurrency 44:39
The Power of Data & Algorithms
 
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Join the discussion on all things big data--from predictive analysis and social media data mining, to how data can predict fluctuations with the stock market.  Panelists:    •Industry Expert: Dr. Jingsong Cui, VP of Data Science at Nielson    •Industry Expert: Joseph F. Miceli Jr., CEO of Omniscient Analytics    •Florida Poly Math and Analytics Professor: Dr. Athanasios Gentimis    •Moderator: Crystal Lauderdale, Director of Marketing & Communications
Coursera Review
 
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How to teach yourself programming.
Views: 669 Money Jones
Learn Python - Full Course for Beginners
 
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This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter - https://twitter.com/mike_dane 🔗If you liked this video, Mike accepts donations on his website: accept donations on my website: https://www.mikedane.com/contribute/ ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: https://youtu.be/KJgsSFOSQv0 💻C++: https://youtu.be/vLnPwxZdW4Y 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c 💻C#: https://youtu.be/GhQdlIFylQ8 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 3457857 freeCodeCamp.org
Best Course In Data Mining
 
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Description
Views: 30 Mira G
Coursera Office Hours - Paris (Updated)
 
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This is a video of face-to-face office hours for my Coursera courses. https://www.coursera.org/course/insidetheinternet https://www.coursera.org/course/pythonlearn http://office-hours.dr-chuck.com/ I teach the Internet History, Technology, and Security (IHTS) and Programming for Everybody (PR4E) courses on Coursera. Holiday Inn Paris - Notre Dame 4 Rue Danton Paris 75006 France Music: DC Love Go Go from Silent Partner via the YouTube Royalty Free Music Library
Views: 2004 Chuck Severance
Data Science Specialization by Johns Hopkins University — Trailer
 
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This trailer is for the Data Science Specialization, created by Johns Hopkins University. Enroll today at https://www.coursera.org/specializations/jhu-data-science?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=jhu to get access to the specialization! About this specialization: This Specialization on Coursera covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, you’ll have a portfolio demonstrating mastery of the material. What You Will learn: * Use R to clean, analyze, and visualize data. * Use GitHub to manage data science projects. * Navigate the entire data science pipeline from data acquisition to publication. * Perform regression analysis, least squares and inference using regression models. Visit https://www.coursera.org/specializations/jhu-data-science?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=jhu to learn more! Keep in touch with Coursera! Twitter: https://twitter.com/coursera Facebook: https://www.facebook.com/Coursera/
Views: 536 Coursera
Introduction to Data Analytics with R, Tableau & Excel | Data Analytics Career in 2019 & Beyond
 
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Introduction to Data Analytics with R, Tableau & Excel | Data Analytics Career in 2019 & Beyond https://acadgild.com/big-data/data-analytics-training-certification?aff_id=6003&source=youtube&account=UgnojgSKQLk&campaign=youtube_channel&utm_source=youtube&utm_medium=intro-DA-R-tableau-excel&utm_campaign=youtube_channel Did you know? by 2020, every human being will create over 1.5 megabytes of data per second on average. In 2025, the sum of digital data will add up to 180 zettabytes, which is over 1600 trillion gigabytes. Considering these numbers, it is an understatement to say that the data is only BIG. So, what is Big Data and how is it related to Data Analytics? Big data is a large volume of data that consists of both structured and unstructured data forms. helps organizations to draw meaningful insights from their data to learn and grow. Thus, it’s the data that matters and not it’s volume. Structured data is organized information that can be accessed with the help of simple search algorithms. While Unstructured data as the name suggests is less uniform and thus difficult to work with. The lack of structure makes compiling data at a time and energy-consuming task. The Relation Between Big Data and Analytics: The process of uncovering hidden patterns, unknown correlations, market trends, customer preferences and other useful information from both structured and unstructured data is called Data analytics. The Benefits of Using Data Analytics. • Analytics help organizations make informed decisions and choices. • It boosts the overall performance of the organization by refining the financial processes, increasing visibility, providing insights and granting control over managerial processes. • It detects fraud and flaws by keeping a close vigil. • It further Improves the IT economy by increasing agility and flexibility of systems. The above mentioned are just a few advantages, however, the list goes on. Despite the growing interest in data analytics, there is an acute shortage of professionals with good data analytical skills. Thus, only 0.5% of the data we produce is analysed. There is a serious shortage of skilled professionals. Thus, the ones who are called proficient data analysts must have certain skills. They must possess a varied skill-set like computer science, data mining and business management to provide from the data they are working on. Their computer science skills should include both programming skills and technical skills • Programming Skills: Python, R, and Java • Technical Skills: Knowledge of platforms like Hadoop, Hive, Spark, etc., Their data skills should include Warehousing Skills, Quantitative & Statistical Skills & Analytical & Interpretation Skills • Warehousing Skills: Data scientist must possess good analytical skills • Quantitative & Statistical Skills: As technology is a key aspect of big data analysis, quantitative and statistical skills are essential • Analytical & Interpretation Skills: knacks to analyses and interpret data The business skills are important to use the data effectively and to improve various aspects such as operations, finance, productivity, etc., These are the skills that make the data analytics professional an invaluable asset to the organization. The lack of skilled data professionals is an opportunity in turn for upcoming data scientists to make their mark in the field of data analytics. As the significance of data grows in the business world, the value of professionals working in analytics also increases. This is creating a variety of job roles amongst organizations and they are. Data Analyst, Analytics Consultant, Business Analyst, Analytics Manager, Data Architect, Metrics and Analytics Specialist, Analytics Associate these are only some of the job titles that data analytics professionals can acquire in business organizations. The list is presumably greater. The Chief Software Platforms are R, Tableau & Excel R is one of the robust statistical computing solutions. Tableau is the foremost business intelligence platform that offers eminent data visualization and exploration capabilities. Coming to Excel, it is used for managing, manipulating and presenting data. When combined, Tableau, R and Excel offer the most powerful and complete data analytics solutions. So, the demand for data analytics and its professionals is augmenting at a great pace. Organizations are interested in analysts to maximize their data potential, while professionals are interested in capitalizing on the analytical crunch in many parts of the world. #DataAnalytics, #Tableau, #R, #Excel, #career Please like share and subscribe the channel for more such video. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 1760 ACADGILD
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1513232 ExcelIsFun
Module 1: Data Analysis in Excel
 
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This video is part of the Analyzing and Visualizing Data with Excel course available on EdX. To sign up for the course, visit: http://aka.ms/edxexcelbi
Views: 399612 DAT206x
How to Build a Financial Model in Excel - Tutorial | Corporate Finance Institute
 
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How to Build a Financial Model in Excel - Tutorial | Corporate Finance Institute Learn how to build a financial model in Excel with our video course (part 1). Enroll in the FULL course to earn your certificate and advance your degree: http://www.corporatefinanceinstitute.com In this course you will learn to build a financial model from scratch by working in Excel and following along with the video. Upon successfully completing the course and all quizzes you will obtain your Financial Modeling Certificate from the Corporate Finance Institute. -- FREE COURSES & CERTIFICATES -- Enroll in our FREE online courses and earn industry-recognized certificates to advance your career: ► Introduction to Corporate Finance: https://courses.corporatefinanceinstitute.com/courses/introduction-to-corporate-finance ► Excel Crash Course: https://courses.corporatefinanceinstitute.com/courses/free-excel-crash-course-for-finance ► Accounting Fundamentals: https://courses.corporatefinanceinstitute.com/courses/learn-accounting-fundamentals-corporate-finance ► Reading Financial Statements: https://courses.corporatefinanceinstitute.com/courses/learn-to-read-financial-statements-free-course ► Fixed Income Fundamentals: https://courses.corporatefinanceinstitute.com/courses/introduction-to-fixed-income -- ABOUT CORPORATE FINANCE INSTITUTE -- CFI is a leading global provider of online financial modeling and valuation courses for financial analysts. Our programs and certifications have been delivered to thousands of individuals at the top universities, investment banks, accounting firms and operating companies in the world. By taking our courses you can expect to learn industry-leading best practices from professional Wall Street trainers. Our courses are extremely practical with step-by-step instructions to help you become a first class financial analyst. Explore CFI courses: https://courses.corporatefinanceinstitute.com/collections -- JOIN US ON SOCIAL MEDIA -- LinkedIn: https://www.linkedin.com/company/corporate-finance-institute-cfi- Facebook: https://www.facebook.com/corporatefinanceinstitute.cfi Instagram: https://www.instagram.com/corporatefinanceinstitute Google+: https://plus.google.com/+Corporatefinanceinstitute-CFI YouTube: https://www.youtube.com/c/Corporatefinanceinstitute-CFI
pinot coursera
 
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Views: 49 Civil Video Share
The Data Science Revolution (Jeremy Howard) - Exponential Finance 2014
 
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Data Science (Big Data, Data Analysis, Machine Learning) is said to represent a larger potential disruption than the industrial revolution. This session will address the impact on the financial world by data driven decision-making, predictive modeling, machine learning, intelligent computing and more.
8. Time Series Analysis I
 
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MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter Kempthorne This is the first of three lectures introducing the topic of time series analysis, describing stochastic processes by applying regression and stationarity models. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 167812 MIT OpenCourseWare
CS@ILLINOIS' Online Master's of Computer Science - Data Science [Admissions Webinar]
 
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Learn how to get your MCS-DS online with the University of Illinois and Coursera: https://www.coursera.org/degrees/mast... Get more information on the admissions requirements and process, curriculum and more from Computer Science Professor and MCS-DS Program Director John Hart; Graduate Program Specialist and Academic Advisor Christine Martinez; and Graduate Programs Coordinator Viveka Kudaligama at the University of Illinois Urbana Champaign. Webinar originally aired January 18, 2018.
Views: 1936 Coursera
MOOC Climat : Un défit pour la finance
 
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In line with the global commitments made at COP 21, keeping global warming below 2 degrees will involve a massive reorientation of investment in the coming years. Climate change already brings both risks and opportunities for finance professionals. Whether they be bankers, insurers, investors or service providers, all financial players must now take the climate into account in their businesses. This transformation of finance is already under way, but it will need to accelerate. The Institut Louis Bachelier*, a leading research network in economics and finance, has hosted several research programmes around climate finance since its creation in 2008. The Institute is now launching a MOOC (Climate: a challenge for finance) that provides fundamental insights on finance and climate. This MOOC is aimed at financial professionals and Master students who want to have an accurate and up-to-date transversal view of the climate change issue in the financial sphere. Divided into six sequences, it will address the challenges and risks related to climate change, solutions to make the various financial sectors greener, the role of public and private financing, the international financial dimension and the need for financial systems to evolve. https://www.fun-mooc.fr/courses/course-v1:psl+47003+session01/about
Views: 348 noemiedie
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
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Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 226626 ACADGILD
11. Introduction to Machine Learning
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 431171 MIT OpenCourseWare
Introduction MOOC Blended Learning: Data Analytics for Lean Six Sigma
 
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This is an introduction to the Massive Open Online Course (MOOC) of Data Analytics for Lean Six Sigma. For more information on Lean Six Sigma at the Amsterdam Business School, please visit http://www.ibisuva.nl the blended learning video can be found at https://www.coursera.org/
International Journal of Data Mining & Knowledge Management Process
 
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International Journal of Data Mining & Knowledge Management Process (IJDKP) ISSN : 2230 - 9608 [Online] ; 2231 - 007X [Print] http://airccse.org/journal/ijdkp/ijdkp.html Call for papers :- Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following: Data mining foundations Parallel and distributed data mining algorithms, Data streams mining, Graph mining, spatial data mining, Text video, multimedia data mining, Web mining,Pre-processing techniques, Visualization, Security and information hiding in data mining Data mining Applications Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining. Knowledge Processing Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources. Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit : http://airccse.org/journal/ijdkp/ijdkp.html
Views: 150 aircc journal
2018 – 2019 Data Analytics Practice Update
 
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We are excited to present the 2018 - 2019 Data Analytics Practice Update video with Bartosz Piwcewicz (FIAA) and Michael Storozhev (FIAA, CERA) on behalf of the Data Analytics Working Group (DAWG) and the Young Data Analytics Working Group (YDAWG). This video covers key Data Analytics industry issues in 2018, and emerging topics that will impact the Data Analytics sector in 2019. The 2018 – 2019 Practice Update video series aim to provide: - Key headline news from the industry/practice area; - Important changes to legislation, regulation, standards etc.; - Significant appointments to new roles; - Emerging topics and issues within the industry/practice area; - Details of the Practice Committee's activities; - Useful sources of CPD; and - Volunteering opportunities. Jump to each chapter of the Data Analytics Practice Update video below 00:35 – 2018 Key Industry News 04:12 – 2019 Key Industry Forecasts 07:01 – Useful Sources of CPD 09:06 – Volunteering 09:46 – Thank You View our useful sources of CPD below: - Actuaries in Data Analytics Microsite: https://actuaries.asn.au/microsites/actuaries-in-data-analytics - Actuaries Digital: https://www.actuaries.digital - Becoming an Analytics-Based Insurer: A Road Map: https://www.actuaries.digital/2018/01/02/becoming-an-analytics-based-insurer-a-road-map-part-1/ - Statistical Machine Learning | A Crash Course: http://actuaries.logicaldoc.cloud/download-ticket?ticketId=46fbcdcaac395e47964fc6a2dfd11487fb6ae8b - Actuaries Institute Events: https://actuaries.asn.au/events/calendar - Actuaries Institute Past Events: https://actuaries.asn.au/knowledge-bank/past-events - Actuaries Institute Podcasts: https://www.spreaker.com/show/actuaries-institutes-show - Podcast | Managing a Data Analytics Team: https://www.spreaker.com/user/actinst/managing-a-data-analytics-team - Online Courses: https://www.coursera.org/courses?query=johns%20hopkins - Data Analytics Newsletters: https://actuaries.asn.au/microsites/actuaries-in-data-analytics/knowledge/general - MeetUp: https://www.meetup.com/en-AU/topics/data-analytics/ Want to get involved with the DAWG or YDAWG? Write an article for Actuaries Digital, become an education volunteer, appear in our podcast, join one of the many committees/working groups or share your knowledge with us through the email below: [email protected] Thank you to our volunteers, working group members and HQ staff for all your continued hard work in supporting the Data Analytics Working Group and Young Data Analytics Working Group. View more Practice Update videos across different areas here: https://www.actuaries.asn.au/practice-area/practice-update-videos Follow the Actuaries Institute on our social channels: ↳ LinkedIn: https://www.linkedin.com/company/792645/ ↳ Facebook: https://www.facebook.com/pages/Actuaries-Institute/183337668450632 ↳ Instagram: https://www.instagram.com/ActuariesInst ↳ Twitter: https://www.twitter.com/ActuariesInst ↳ Spreaker: https://www.spreaker.com/user/actinst Subscribe to our YouTube channel: https://www.youtube.com/subscription_center?add_user=ActuariesInstitute About the Actuaries Institute As the sole professional body for Members in Australia and overseas, the Actuaries Institute represents the interests of the profession to government, business and the community. Actuaries assess risks through long-term analyses, modelling and scenario planning across a wide range of business problems. This unrivalled expertise enables the profession to comment on a range of business-related issues including enterprise risk management and prudential regulation, retirement income policy, finance and investment, general insurance, life insurance and health financing. Find out more about actuaries: https://www.actuaries.asn.au Copyright © 2018 by Institute of Actuaries of Australia All rights reserved. No part of this video (including the sound recording embodied therein) may be copied, reproduced, screened, distributed, or transmitted in any format by any means without the prior written permission of the publisher, or unless otherwise permitted by copyright law. For permission requests, write to the publisher, addressed “Attention: Permissions Coordinator,” at the address below. Disclaimer Learning material associated with this subject, including this video, is intended for education and training purposes only and is not intended to be used as the basis of work for which payment is received or to which legal liability is or may be attached Publisher The Institute of Actuaries of Australia ABN 69 000 423 656 Level 2, 50 Carrington Street, Sydney NSW 2000 Tel: +61 (0)2 9239 6100 Fax: +61 (0)2 9239 6170 https://www.actuaries.asn.au Actuaries Magazine https://www.actuaries.digital #actuary #actuaries #actuariesinstitute #practiceupdate #dataanalytics #dawg #ydawg #analytics #data #bigdata #datascience #video #workinggroup #science #meetup #podcast #media #coursera #event #statistics #machinelearning #ai
Views: 317 Actuaries Institute
Machine Learning Algorithms for Dummies
 
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Session by Darren Hague at SAP Inside Track Berlin 2017 Abstract: In this session you will be taken on a whirlwind tour of the algorithms presented in Andrew Ng’s famous Coursera course on Machine Learning. No mathematics is needed beyond what you did in high school, and you will learn about the capabilities of: · Linear Regression · Logistic Regression · Neural Networks · Support Vector Machines · k-Means Clustering · Dimensionality Reduction · Anomaly Detection · Recommender Systems Of course the talk is too short to go into implementation details, but you should leave with at least an idea about what machine learning can do, and which algorithm to pick for the problem you are trying to solve. Ideally it interests you enough to take the next step and enrol in the course, where you will learn how the algorithms work and how to implement them.
Using Data Mining and Visualization to Investigate Retention in STEM
 
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This STEM Central webinar was presented on March 25th 2015 by a transdisciplinary team at Northern Kentucky University: Maureen Doyle, Associate Dean of Informatics; Kristi Haik, Chair of the Department of Biological Sciences; Madhura Kulkarni, Assistant Director at Center for Integrative Natural Science and Mathematics; Bethany Bowling, Associate Professor of Biological Sciences; Mark Lancaster, Assistant Professor of Statistics and Data Science; and their students Kacie Kotnik and Nathaniel Hudson. Abstract: At Northern Kentucky University (NKU) we are implementing two parallel NSF-funded programs to improve student persistence and provide impactful career exploration. Project FORCE (Focus on Occupations, Recruiting, Community, and Engagement) builds STEM-wide efforts that include peer-led study sessions, research opportunities for students at risk of leaving, and activities that promote community. Project SOAR (Scholarships, Opportunities, Achievements, and Results) recruits 22 academically-talented students with financial need and provides them with scholarships, targeted academic interventions, intentional mentorship, and career networking. The leadership teams of these projects use data-mining and visualization techniques to assess STEM student data provided by NKU Institutional Research. In this webinar we will discuss launching this type of investigation with the necessary entities at your institution (i.e. IR, IRB), approaches to analyzing and mining the data, and selecting visualization tools. The focus will be on how to implement this approach at your institution with examples from our analyses.
Statistical Programming DC - March 2016 - Machine Learning with R
 
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About the Talk Machine learning has become increasingly associated with advanced analytics. We will explore the basic idea behind machine learning, the steps to apply machine learning, and some of the supervised and unsupervised models. We will focus on classification models and will walk through the R code for those models. We will go over a real life business application at a major institution and touch on key practical lessons learned for machine learning. The talk will address know how from a practitioner’s point of view.   There will be code! About Rafi Rafi is an advance analytics manager with the Advisory Services data and analytics practice at Ernst & Young. Rafi is a practitioner with a background in economic research, finance and data analytics from algorithms to BI to data mining. He has consulted on new product developments, business initiatives, process reengineering, technology solutions and efficacy implementations. He has developed R machine learning models for large financial institutions and oversees the analytics training for Data and Analytics. Rafi holds a Master's of Science of Finance from Johns Hopkins University and B.S. in Economics from George Washington University. He serves on the financial advisory committee to the board of Washington Yu-Ying Public charter school and on the corporate advisory board for the master in analytics at GWU. Follow him at @refaellav
Views: 238 Casey Driscoll
A Docker Container Toolbox for the Data Scientist by Douglas Liming, SAS Institute Inc.
 
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A Docker Container Toolbox for the Data Scientist - Douglas Liming, SAS Institute Inc. A major financial institute supports its analytic workload via docker containers with access to R, Python, and SAS. This talk discusses how we built and deployed containers with the open source tools needed for their Data Scientists to complete their work. It discusses how containers enable their IT department to meet the ad hoc, compute intensive, and scaling demands of the organization. It also covers how provisioning thin clients via Jupyter Notebooks, R Studio, and SAS Studio, empowers Data Scientists with the tool of their choice. An exciting differentiator for the Data Scientist, is the ability to send a portion of the analytic workload to run inside their Hadoop cluster. Lastly, we discuss extending the container by pushing the analytic workload to run inside the Hadoop cluster; thus enabling the Data Scientists to dive inside the data lake and harness the power of all the data. About Douglas Liming Doug Liming is an Enterprise Architect with SAS Institute in Cary, North Carolina. He was a DBA for 16 years before trading hats. He is now focusing on all things Hadoop and Hadoop within the enterprise. How Hadoop is the hub for the entire enterprise and how Open Source is now a major player.
Views: 1804 The Linux Foundation
Data Science With R | Introduction to Data Science with R | Data Science For Beginners | Simplilearn
 
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This Data Science with R tutorial will help you understand what is R, why R, what is comprehensive R archive network, how to install R, what is linear regression, what is correlation analysis in R and at the end you will also see a use case implementation using R where we predict the class of a flower. Today, it is imperative for every modern business to understand the huge amounts of data it maintains on its customers and itself. R programming language makes it easy for a business to go through the business’s entire data. Now, lets deep dive into this video to understand Data Science using R programming. Below topics are explained in this Data Science with R tutorial: 1. Introduction to R ( 00:38 ) - Why R? - Comprehensive R archive network - Installing R 2. Simple linear regression using R ( 12:20 ) - The line of best fit - Correlation analysis in R 3. Classification using R ( 38:24 ) - Use case: Predict the class of a flower To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the slides here: https://goo.gl/WGtBKQ Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment. Why learn Data Science with R? 1. This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc 2. According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 3. Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analysis techniques that can be performed using R. The data science course is packed with real-life projects and case studies and includes R CloudLab for practice. 1. Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. 2. Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing. 3. As a part of the data science with R training course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and the Internet. Four additional projects are also available for further practice. The Data Science with R is recommended for: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science Learn more at: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Data-Science-With-R-0vCK17cQt14&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 4220 Simplilearn
Microsoft Excel 2016 - Learn Excel 2016 Beginners Tutorial Video
 
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Learn Microsoft 2016 from the pro's. In this FREE beginners tutorial for Microsoft 2016 you will learn the basics of Excel 2016, and Tips and Tricks so that you can get the most out of your Excel experience. Our beginner videos start with simple tasks like selecting cells and entering data, then quickly move to calculating data with basic formulas and functions. The intermediate portion shows you how simple it is to sort and filter and then moves to one of Excel’s most popular features, Pivot Tables. Our advanced videos start with functions like IF and VLOOKUP and finish up with Macros. Some of the other topics in the Microsoft Excel 2016 tutorial include: Start Screen & Templates, Ribbon & QA Toolbar - Part 1, Ribbon & QA Toolbar - Part 2, Backstage View, Interface, Share Pane, Tell Me, Smart Lookup, Navigating, Keyboard Shortcuts, Entering Text Formatting Numbers, Deleting & Formatting, AutoSum, Simple Formulas, Simple Functions, Absolute Referencing, Inserting Rows Inserting Columns, Moving & Copying Data, Autofill, Cell Styles, Worksheet Themes, Excel Templates, Grouping Worksheets, Freeze Panes, Custom Views, Spell Check, Printing, Flash Fill, List Design & Single Level Sorting, Multi-Level Sorting, Custom Sorting, Filtering, Multi-Level Filtering, Search Filtering, Format as Table, Table Style Options, Remove Duplicates, Convert to Range, Subtotal, Multi-Level, Subtotaling, Remove Subtotals, Quick Analysis Charts, Inserting Data Charts, Formatting Data Charts, Chart, Templates, Spark lines, Printing Charts, Importing From Web, MS Query, Exporting Overview, Pivot Tables, Multiple-Field Pivot Tables, Drill Down Reports, Pivot Charts & Grouping Fields, Slicer Tool, Data Validation - Part 1, Data Validation - Part 2, Cell & Sheet Protection, File Encryption, Conditional Formatting, Linking Data, Inserting Comments.. and more Please subscribe to Learn iT! and check out our website (http://learnit.com) to browse other Microsoft Courses, Project Management, and IT Training courses.
Views: 683605 Learn iT! Training
Lec 1 | MIT 14.01SC Principles of Microeconomics
 
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Lecture 1: Introduction to Microeconomics Instructor: Jon Gruber, 14.01 students View the complete course: http://ocw.mit.edu/14-01SCF10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 940140 MIT OpenCourseWare
Machine Learning Explained - in Hindi
 
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Views: 2535 CaelusBot
MOOC on Public Finance and Policy in India - Introduction
 
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MOOC on Public Finance and Policy in India - Introduction
Views: 106 MOOCs UGC
SAGE Campus – Online Data Science Courses For Social Scientists
 
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Do you want to learn the data science skills and methods needed to work with big data for your social science research? Watch this video and find out about the range of online big data courses available on SAGE Campus, and how they’ve been tailored for social science researchers. Whether you’re fresh out of grad school and looking to take your Python skills to the next level, or an experienced researcher wanting to find out how to manage data in R, at SAGE Campus you’ll gain the skills you need to embrace the big data revolution, build a successful career and, ultimately, produce high quality research. Find out more at campus.sagepub.com
Views: 137 SAGE
Advanced Data Science at ZS
 
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Key topics to be covered in the webinar: • Introduction to ZS and Advanced Data Science at ZS • ZS point of view on Artificial Intelligence and Data Science: How the company sees it impacting the industry in general and healthcare in specific • Advanced Data Science at ZS: ZS clients, the industries that ZS operates in, and problems ZS is solving • Role of and a typical day in the life of a data scientist at ZS • Career progression and other opportunities • Details about the upcoming ZS Data Science Challenge 2018 • Tips and tricks to prepare for the Challenge Speaker - Pranava Goundan (Associate Principal - Advanced Data Science, ZS Associates) Pranava has been with ZS for over nine years. His areas of expertise include data science, marketing, pricing, and market access. He has supported clients across several industry verticals including pharmaceuticals, retail, real estate, financial services, advertising, and transportation and services. Pranava holds a doctoral degree in operations research from the Massachusetts Institute of Technology, U.S., and a bachelor’s degree from IIT Madras. About HackerEarth HackerEarth delivers best-in-class innovation management and technical recruitment software and helps companies fast-track their growth. We're also home to a thriving community of 2M+ developers and startups. To know how our software can help your company... Streamline innovation and fast-track growth, visit http://hck.re/WooZn0 Identify and hire the best tech talent, visit http://hck.re/cbwx1f If you're a developer looking to hone your programming skills, participate in coding challenges, and get hired by top companies, visit http://hck.re/FeEJsD
Views: 2037 HackerEarth

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