Data Analysis in Social Science Assessing Your Knowledge

Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts, United States. Established in 1861, MIT is devoted to the advancement of knowledge and education in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. MIT is known for its strong emphasis on research and innovation, as well as its commitment to solving real-world problems through interdisciplinary collaboration. Its main campus spans over 160 acres and is home to five schools and one college, including the School of Architecture and Planning, the School of Engineering, the School of Humanities, Arts, and Social Sciences, the Sloan School of Management, the School of Science, and the MIT Schwarzman College of Computing.

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 [email protected] 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.