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Data Analysis and Interpretation

About This Specialization Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection be…

Measuring Causal Effects in the Social Sciences

Measuring Causal Effects in the Social Sciences

About this course: How can we know if the differences in wages between men and women are caused by discrimination or differences in background characteristics? In this PhD-level course we look at causal effects as opposed to spurious relationships. We will discuss how they can be identified in the social sciences using quantitative data, and describe how this can help us understand social mechanisms.

Created by:   University of Copenhagen

  • Anders Holm
    Taught by:    Anders Holm, Professor
    Department of Sociology
Language
English
How To PassPass all graded assignments to complete the course.
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Average User Rating 3.9See what learners said
Syllabus
WEEK 1
The Nature of Causal Effects and How to Measure Them
Welcome to the first week of the course! Thıs week we are looking at the nature of causal effects and how to measure them.  

1 video1 reading
  1. Reading: Course information
  2. Video: Lecture 1 - The Nature of Causal Effects and How to Measure Them
Graded: Module 1 Lecture Quiz
Graded: Module 1 Case Quiz
WEEK 2
The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors. 

1 video
  1. Video: Lecture 2 - The Multivariate Regression Model and Mediating Factors
Graded: Module 2 Lecture Quiz
Graded: Module 2 Case Quiz
WEEK 3
Randomized Controlled Trials
In this third week of the course we are having a closer look at causality and the randomzied controlled trial. 

1 video
  1. Video: Lecture 3 - Randomized Controlled Trials
Graded: Module 3 Lecture Quiz
Graded: Module 3 Case Quiz
WEEK 4
Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables. 

1 video
  1. Video: Lecture 4 - Instrumental Variables
Graded: Module 4 Lecture Quiz
Graded: Module 4a Case Quiz
Graded: Module 4b Case Quiz
WEEK 5
Difference in Difference
The final module of the course deals with the difference in difference. We hope you enjoyed the course and have learned something that you can use in your future work and research.  

1 video
  1. Video: Lecture 5 - Difference in Difference
Graded: Module 5 Lecture Quiz
Graded: Module 5 Case Cuiz
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of Copenhagen
The University of Copenhagen is the oldest University in Denmark - founded in 1479, and with over 38,000 students and more than 9,000 employees. The purpose of the University is to conduct research and provide education to the highest academic level. Based in Denmark's capital city it is one of the top research institutions in Europe.


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