• Length:
    4 Weeks
  • Effort:
    10–14 hours per week
  • Price:

    FREE
    Add a Verified Certificate for $300 USD

  • Institution
    MITx
  • Subject:
    Data Analysis & Statistics
  • Level:
    Advanced
  • Language:
    English
  • Video Transcript:
    English
  • Course Type:
    Instructor-led on a course schedule

Associated Programs:

Prerequisites

IMPORTANT: You must first complete 14.310x - Data Analysis for Social Scientists with a passing grade in order to take this assessment. Please see the FAQ's below for more detail.

About this course

Skip About this course

*Enrollment for this course will open on July 20, 2020 *

To learn more about this MicroMasters program, please visithttps://micromasters.mit.edu/ds/.

This course consists of an assessment that tests your knowledge on the course content from 14.310x - Data Analysis for Social Scientists , 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:

  1. 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),
  2. Complete the content course 14.310x with a passing grade,
  3. 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.

The timed exam will open between September 3, 2020 - September 14, 2020, but enrollment is open until August 17, 2020.

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

Skip 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

Meet your instructors

Massachusetts Institute of Technology
Esther Duflo
Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics, winner of the 2019 Nobel Prize in Economic Sciences
MIT
Sara Fisher Ellison
Senior Lecturer, Economics
MIT

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Frequently asked questions

Can I get credit towards the MicroMasters program in Statistics and Data Science by completing this exam only?
No. You will need to enroll in BOTH the content course 14.310x AND this exam and pass BOTH to earn course credit towards the MicroMasters credential you pursue.

Can I take this exam as an Audit learner?
No, this exam is designed for learners pursuing the MicroMasters credential in statistics and data science, and so is available only once you verify.

Where is the course material for this exam?
The content for by this exam is at14.310x. Enroll for the exam here, complete and pass 14.310x, then come back to take the exam.

Do I need to pass the content course 14.310x Data Analysis for Social scientists in order to take the exam?
Yes, you will need to pass the content course 14.310x to be allowed to take this exam. This is so that once you pass this exam, you will receive credit towards the MicroMasters credential.

What if I enroll for this exam but did not pass the content course 14.310x?
Unfortunately, then you will not be allowed to take this exam and will have to re-enroll for a future exam.

When can I take the exam?
Provided you have passed 14.310x, you can take the exam any time between September 3, 2020 - September 14, 2020.

I have completed and passed the content course 14.310x in a previous course run, can I enroll in this exam now?
Yes, pass this exam now and you will still receive credit towards the MicroMasters program in Statistics and Data Science.

Can this exam be counted towards the MicroMasters credential in Data, Economics, and Development Policy (DEDP)?
No, to earn a certificate that counts towards the MicroMasters credential in DEDP, you have to sit an in-person proctored exam. Please visit theDEDP websiteto learn more about how to register for the exam.

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.