Data Science in Practice

This is a hands-on course teaching the practical and reproducible data analysis. We will teach you how to work with data and code to get a deeper understanding of how data science methods work, how they can fail, how to fix them, and how to develop new methods. We will cover intermediate concepts in data science, and how they relate to the wider world of statistics, engineering and computer science. At the same time we will teach you techniques of data analysis that will make your work easier to organize, understand, explain and share. Using this techniques will give you great benefits for collaborating with others, and for making your work reproducible.

At the end of the course we expect you to have good insight into a range of techniques for data science, and to be skilled in using Python to track and share your work standard tools such as version control, testing and code review.