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Data Analysis for Social Scientists

Massachusetts Institute of Technology via edX

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  • Provider edX
  • Subject Data Analysis
  • $ Cost Free Online Course
  • Session Finished
  • Language English
  • Effort 12 hours a week
  • Start Date
  • Duration 12 weeks long

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This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy. To enroll in the full program, go to MIT’s MicroMasters site. If you want to enroll in this course only, click “Enroll Now.” Learn more about this program and how it integrates with MIT’s new blended master’s degree.

This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, we will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.

This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively.

Taught by

Esther Duflo and Sara Fisher Ellison

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Reviews for edX's Data Analysis for Social Scientists
4.3 Based on 3 reviews

  • 5 stars 67%
  • 4 star 0%
  • 3 star 33%
  • 2 star 0%
  • 1 star 0%

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  • 1
Paul S
5.0 6 months ago
by Paul is taking this course right now, spending 16 hours a week on it and found the course difficulty to be hard.
To say this class is thorough is an understatement. The lectures are extremely detailed, sometimes with additional detailed references(!), and it occasionally warrants going back and replaying one or two of the lectures before moving on. There is a good deal of statistics and probability review and training prior to getting to the "methods" of this class (around week 8). I recommend this course as I cannot imagine a better, more thorough treatment for the topic, taught by some of the "best" there are out there today in Economics and Statistics.
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Mariana M
3.0 a year ago
Mariana dropped this course.
I was very excited about this course - its scope and the fact that it did not require any knowledge in statistics. That is not true: you should know some probability and statistics, otherwise you will not be able to keep up with the workload (or the classes, to be honest) and will drop out - like I did.

Will try again later, when I have gained some statistics knowledge.
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Harunpehlivan H
5.0 2 years ago
by Harunpehlivan audited this course.
0 person found
this review helpful
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