Why do people vote the way they do? Can universal health insurance lead to a longer lifespan? What countries are more or less likely to erupt in civil conflict? Assessing these questions requires the ability to think analytically about data and statistics. This course will provide an introduction to causal inference, probability theory, and estimation. The focus of this course will be on hands-on data analysis and the practical application of basic statistical methods to real-world, relevant problems.
This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.
Previously offered 2013-2015, 2017-2020.