The Analytics Edge

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10/10 stars
based on  154 reviews
Provided by:
Cost FREE
Start Date On demand

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Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22830 reviews

Course Description

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will ena...

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications. 

The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a “quick question” to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we’ll use in the course. See the Software FAQ below for more info). In the middle of the class, we will run an analytics competition, and at the end of the class there will be a final exam, which will be similar to the homework assignments.

Reviews 10/10 stars
154 Reviews for The Analytics Edge

Ratings details

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Vichar Sanchar profile image
Vichar Sanchar profile image
10/10 starsCompleted
  • 5 reviews
  • 4 completed
5 years ago
An introduction to the a wide ranging data analytic techniques. Very well done. Plenty of application cases. Lots of exercises. \----------------------- ------------------------------------------------------------------------------ ------------
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student

8/10 starsCompleted
5 years, 10 months ago
This course requires a lot more background in statistics than suggested. I have that which helped a lot. A very good course that does require more like 15 to 20 hours a week to complete with good grades.
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Mark Butler profile image
Mark Butler profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
5 years, 10 months ago
An excellent course. Lectures are detailed yet concise, focused on interesting case studies, combined with plenty of practical exercises to make sure you have understood the material presented. However it's not for beginners - take an basic introductory statistics / R course first before this one.
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Jeremy profile image
Jeremy profile image
10/10 starsCompleted
  • 4 reviews
  • 3 completed
5 years, 9 months ago
I have taken several online statistics courses and a couple basic courses on using R software. In my opinion this is one of the most interesting courses you can take that combines R and statistical analytic methods. It requires a fair bit of focus but what you learn is well worth the effort put in. The best part about this course is the weekly homework assignments that really drive home the concepts taught in the video lectures. R scripts are provided for the lecture sessions which really helps with the homework assignments. If you get stuck there is usually others students there to help you out in the discussion forums. I recommend this course highly to those wishing to learn how to use R for practical and useful purposes. So far in my online learning I would rate this as my favorite course.
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Rating Details


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  • 5 stars
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.