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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video Based

Course Overview

The Data Analysis for Social Scientists certification course will introduce learners to the fundamentals of statistics, probability, and data analysis. The curriculum covers most modern data analysis techniques including estimation, prediction, regression and econometrics, experimental design, A/B testing, randomized control trials, data visualization, and machine learning.

All these concepts are illustrated using real-world examples. Candidates will also learn how to use the statistical package R, and perform self-directed empirical analyses.

The Data Analysis for Social Scientists certification is also a prerequisite for two independent MicroMasters programs that the Massachusetts Institute of Technology (MIT) offers: MicroMasters in Data, Economics, and Development Policy (DEDP) and MicroMasters in Statistics and Data Science (SDS).

Before you apply to the Data Analysis for Social Scientists program, you check out the course preview to go through the content, exercises, etc. Some resources are also available if you are new to these subjects or wish to jog your memory. If you score 60% or more in the course preview, it indicates that you are prepared for this course.

The Highlights

Free learning
MIT programme
Advanced course
Eleven-week course
12-14 hours in a week
Video lectures in English
Course preview available
Video transcripts in English
Instructor-led scheduled course
Prerequisite for the SDS MicroMasters programme
Prerequisite for the DEDP MicroMasters programme

Programme Offerings

MIT Programme
Free learning
Advanced course
12-14 hours in a week
Eleven-week course
Course preview available
Prerequisite for the DEDP MicroMasters program
Video lectures in English
Video transcripts in English
Instructor-led Scheduled Course

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MIT Cambridge

Eligibility Criteria

Interested candidates can apply to the Data Analysis for Social Scientists program even if they are not trained in statistics and probability. However, they should be comfortable with algebra and calculus.

What you will learn

Data science knowledge

Completing the eleven-week Data Analysis for Social Scientists training will help you learn the following:

Summarising and describing data
Skills and tools to analyze data using R
Methods to evaluate social programs
The intuition behind statistics and probability analysis
Presenting results in a truthful and compelling way

Who it is for

Data Analyst

This Data Analysis for Social Scientists online course will benefit individuals who want to learn how to analyze data and effectively communicate their findings.

Admission Details

Step 1: Join the Data Analysis for Social Scientists course by tapping on this link: https://www.edx.org/course/data-analysis-for-social-scientists

Step 2: Find the "Enrol" tab on the web page to open the online registration page.

Step 3: Sign-up with edX through your social media accounts (Google/ Apple/Microsoft/Facebook). Or else, you can register by creating a new edX learning account.

Step 4: Finally, submit the form and commence learning.

Application Details

Candidates interested in the Data Analysis for Social Scientists program can apply by filling out an online registration form. Provide your contact information in the form, including your name, email address, and country of residence.

The Syllabus

Instructors

MIT Cambridge Frequently Asked Questions (FAQ's)

1: How do I know if I am prepared to take this course?

You can access the course preview and solve the exercises there. If you score 60% or more, you are prepared for the program. If not, you should review the topics covered before you apply.

2: Which MicroMasters program will this course help me with?

This course is a prerequisite for two programs: MicroMasters in Data, Economics, and Development Policy (DEDP) and MicroMasters in Statistics and Data Science (SDS).

3: Where can I access the program preview?

You can access the course preview through the link here:
https://www.dropbox.com/sh/op0yjn65cxsocgb/AAAcRZM8XiABXSgaE-DfesTta/14.310x%20Course%20Preview?dl=0&subfolder_nav_tracking=1

4: Is knowledge of statistics and probability essential to take this course?

No. But you must have a working knowledge of algebra and calculus.

5: Is this course available in a self-paced mode?

No. This program is only provided in an instructor-led mode, with scheduled weekly classes.