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Data Analysis for Social Scientists

This course is now part of two independent MITx MicroMasters programs. For both MicroMasters programs, learners will need to first enroll in and pass this course. However, each program will then require different final assessments for a course certificate toward the full MicroMasters credential:

1. MicroMasters in Data, Economics, and Development Policy (DEDP).

To pursue the DEDP MicroMasters credential, pass this course, create a MicroMasters in DEDP profile, and pass an additional in-person proctored exam.

To learn more about the DEDP program and how it integrates with MIT’s new blended Master’s degree, please visit https://micromasters.mit.edu/ dedp/.

 
2.  MicroMasters in Statistics and Data Science (SDS).
To pursue the SDS MicoMasters credential, pass this course, and enroll in and pass the final assessment at 14.310Fx Data Analysis in Social Sciences-Assessment on EdX.

Complete all 4 courses and the capstone exam in the SDS program to accelerate your path towards graduate studies at MIT or other universities. To learn more, please visit https://micromasters.mit.edu/ ds/.

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.

Course Previews:

Our course previews are meant to give prospective learners the opportunity to get a taste of the content and exercises that will be covered in each course. If you are new to these subjects, or eager to refresh your memory, each course preview also includes some available resources. These resources may also be useful to refer to over the course of the semester. 

A score of 60% or above in the course previews indicates that you are ready to take the course, while a score below 60% indicates that you should further review the concepts covered before beginning the course.

Please use the this link to access the course preview.

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Massachusetts Institute of Technology

Rating 3.0 based on 7 ratings
Length 11 weeks
Effort 12 - 14 hours per week
Starts Aug 27 (in 27 weeks)
Cost $0
From Massachusetts Institute of Technology, MITx via edX
Instructors Esther Duflo, Sara Fisher Ellison
Download Videos On all desktop and mobile devices
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 11 weeks
Effort 12 - 14 hours per week
Starts Aug 27 (in 27 weeks)
Cost $0
From Massachusetts Institute of Technology, MITx via edX
Instructors Esther Duflo, Sara Fisher Ellison
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business Social Sciences
Tags Data Analysis & Statistics Economics & Finance Social Sciences