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Data Analysis in Social Science—Assessing Your Knowledge

Esther Duflo and Sara Fisher Ellison

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

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To learn more about this MicroMasters program, please visithttps://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 [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:

  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.

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

What's inside

Learning objectives

  • 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
  • You will be tested on your knowledge in the following areas:
  • These are all taught in the content course

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Core audience: Students pursuing a MicroMasters in Statistics and Data Science
Core audience: Social scientists and researchers
Taught by Esther Duflo and Sara Fisher Ellison, renowned economists with expertise in development economics and field experiments
Develops foundational skills in probability, statistics, and data analysis, essential for careers in social science research, data science, and policy analysis
Emphasizes practical applications and real-world examples, making the content relatable and relevant to learners
Provides hands-on experience with the statistical software R, enhancing learners' practical skills

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Career center

Learners who complete Data Analysis in Social Science—Assessing Your Knowledge will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve complex problems. This course will help you build a foundation in probability and statistics, which are essential skills for Data Scientists. You will also learn how to use the statistical package R, which is a popular tool for data science.
Social Scientist
Social Scientists use data to study human behavior. This course will help you build a foundation in probability and statistics, which are essential skills for Social Scientists. You will also learn how to use the statistical package R, which is used by many social scientists for data analysis.
Statistician
Statisticians use data to solve a wide range of problems. This course will help you build a foundation in probability and statistics, which are essential skills for Statisticians. You will also learn how to use the statistical package R, which is used by many statisticians for data analysis.
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. This course will help you build a foundation in probability and statistics, which are essential skills for Quantitative Analysts. You will also learn how to use the statistical package R, which is used by many investment banks and hedge funds for quantitative analysis.
Survey Researcher
Survey Researchers design and conduct surveys to collect data. This course will help you build a foundation in probability and statistics, which are essential skills for Survey Researchers. You will also learn how to use the statistical package R, which is a valuable tool for data analysis.
Data Analyst
Data Analysts use statistical analysis to uncover trends and patterns in data. This course will help you build a foundation in probability and statistics, which are essential skills for Data Analysts. You will also learn how to use the statistical package R, which is a valuable tool for data analysis.
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you build a foundation in probability and statistics, which are essential skills for Financial Analysts. You will also learn how to use the statistical package R, which is used by many financial analysts for data analysis.
Market Researcher
Market Researchers use data to understand consumer behavior. This course will help you build a foundation in probability and statistics, which are essential skills for Market Researchers. You will also learn how to use the statistical package R, which is a valuable tool for data analysis.
Risk Manager
Risk Managers use data to assess and manage risk. This course will help you build a foundation in probability and statistics, which are essential skills for Risk Managers. You will also learn how to use the statistical package R, which is used by many risk managers for risk assessment.
Epidemiologist
Epidemiologists use data to study the spread of diseases. This course will help you build a foundation in probability and statistics, which are essential skills for Epidemiologists. You will also learn how to use the statistical package R, which is used by many epidemiologists for data analysis.
Biostatistician
Biostatisticians use data to design and analyze clinical trials. This course will help you build a foundation in probability and statistics, which are essential skills for Biostatisticians. You will also learn how to use the statistical package R, which is used by many pharmaceutical and biotechnology companies for clinical research.
Business Analyst
Business Analysts use data to improve business decisions. This course will help you build a foundation in probability and statistics, which are essential skills for Business Analysts. You will also learn how to use the statistical package R, which is a valuable tool for data analysis.
Public Policy Analyst
Public Policy Analysts use data to inform public policy decisions. This course will help you build a foundation in probability and statistics, which are essential skills for Public Policy Analysts. You will also learn how to use the statistical package R, which is used by many government agencies for data analysis.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of operations. This course will help you build a foundation in probability and statistics, which are essential skills for Operations Research Analysts. You will also learn how to use the statistical package R, which is used by many organizations for operations research.
Actuary
Actuaries use data to assess risk. This course will help you build a foundation in probability and statistics, which are essential skills for Actuaries. You will also learn how to use the statistical package R, which is used by many actuaries for risk assessment.

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