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Data Analysis for Social Scientists

This course is part of the new MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, please visit the MIT’s MicroMasters site.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.

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Massachusetts Institute of Technology

Rating 3.0 based on 7 ratings
Length 12 weeks
Effort 12 - 14 hours per week
Starts Jun 5 (earlier today)
Cost $0
From Massachusetts Institute of Technology, MITx via edX
Instructors Esther Duflo, Sara Fisher Ellison
Free Limited Content
Language English
Subjects Data Science Business Social Sciences
Tags Data Analysis & Statistics Economics & Finance Social Sciences

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

confusing approach without in one review

Confusing approach without concrete examples and demos of how to run full tests in practice.

mit have made in one review

I am grateful that the Professors and MIT have made this course available online.

analyse data independently in one review

Doesn't leave you with a lot of confidence that you can analyse data independently on big projects.

little practical value in one review

I was excited about this course, but there is little practical value compared to the effort you need to spend on the coursework.

many things into in one review

tl;dr - poorly put together MOOC trying to cram too many things into one course.

occasionally warrants going in one review

), and it occasionally warrants going back and replaying one or two of the lectures before moving on.

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edX

&

Massachusetts Institute of Technology

Rating 3.0 based on 7 ratings
Length 12 weeks
Effort 12 - 14 hours per week
Starts Jun 5 (earlier today)
Cost $0
From Massachusetts Institute of Technology, MITx via edX
Instructors Esther Duflo, Sara Fisher Ellison
Free Limited Content
Language English
Subjects Data Science Business Social Sciences
Tags Data Analysis & Statistics Economics & Finance Social Sciences