This is a CORE course within the MITx MicroMasters program in Data, Economics, and Design of Policy (DEDP), which provides a path toward the Master’s in DEDP at MIT.
** Three CORE courses are needed to complete the MicroMasters Program Credential in DEDP. For more information on DEDP MicroMasters program requirements, please visit our FAQ page**
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 this link to access the syllabus and this link to access the course preview. Once you have completed this preview, use the answer key to check your answers.
Comparing the Audit and Certificate Tracks
(Click here for a text based version of this table.)