Introduction to Data Analysis

How do we know which Covid-19 vaccine is better? Which combination of
policies could help promoting start-up companies? These questions could be
answered with the help of Data analysis. Social scientists need to process survey
results. Natural scientists want to analyze experiment’s outcomes. Modern
statistical methods and state of the art computing software can help finding
valuable information from a large and confusing data set. This course will provide
2
students with basic statistics concepts and practical coding skill in Python. Students
will be able to describe and find characteristic of the data, explore, and confirm
relationship among data, and draw answer for questions from their own discipline
via hand-on experience with various projects. Some main topics are data
visualization, descriptive statistics, parameter estimation, parametric and non parametric hypothesis testing, ANOVA. A strong background in Mathematics or
Computer Science is not required, just a desire to learn is enough