Data Analysis in Social Science — Assessing Your Knowledge
Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge-- Part of the MITx MicroMasters program in Statistics and Data Science.
Course Information
About this Course
To learn more about this MicroMasters program, please visit https://micromasters.mit.edu/ds/.
This course is an assessment that tests your knowledge on the course content from 14.310x - Data Analysis for Social Scientists. Learners are eligible to take this assessment only if they have passed 14.310x - Data Analysis for Social Scientists. All learners who have become eligible within the past year have already been automatically enrolled for this assessment. If you are eligible but have not been enrolled or have not received an email notification, please contact us asap at sds-mm@mit.edu with your edX username, along with a proof (learners record or screenshot of your progress page) that you have obtained 50% or above in 14.310x - Data Analysis for Social Scientists. You must upgrade to become a verified learner to take this assessment.
14.310x - Data Analysis for Social Scientists is a statistics and data analysis course that will introduce you to the essential notions of probability and statistics. It 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. It will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, it will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.
This assessment course should only be taken by learners who have completed and passed 14.310x - Data Analysis for Social Scientists and intend to pursue the MicroMasters credential in Statistics and Data Science. To get credit in this MicroMasters program:
Enroll in both this assessment course and the content course 14.310x - Data Analysis for Social Scientists (Note: There is no additional fee to enroll in the content course),
Complete the content course 14.310x with a passing grade,
Come back to this course and take the exam to earn your verified certificate that will count toward the MicroMasters credential in Statistics and Data Science.
This assessment course, along with the content course 14.310x - Data Analysis for Social Scientists , is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an informed and effective practitioner of data science. You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities. To learn more about this program, please visit https://micromasters.mit.edu/ds/.
What you'll learn
You will be tested on your knowledge in the following areas:
Intuition behind probability and statistical analysis
- How to summarize and describe data
- A basic understanding of various methods of evaluating social programs
- How to present results in a compelling and truthful way
- Skills and tools for using R for data analysis
These are all taught in the content course 14.310x - Data Analysis for Social Scientists
Prerequisites
Meet your instructors
Esther Duflo
Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics
Esther Duflo is the winner of the 2019 Nobel Prize in Economic Sciences. She is also the Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics at MIT. She was educated at the Ecole Normale Supérieure, in Paris, and at MIT. She has received numerous honors and prizes including a John Bates Clark Medal for the best American economist under 40 in 2010, a MacArthur “Genius” Fellowship in 2009. She was recognized as one of the best eight young economists by The Economist magazine, one of the 100 most influential thinkers by Foreign Policy since the list exists, and one of the “Forty under 40” most influential business leaders under forty by Fortune magazine in 2010.
To learn more, please click here.
