Welcome to Data analysis with Python – Summer 2021!

What is typically done in data analysis? How to manipulate big data to discover relationships and patterns? How to use statistical  models to predict future outcomes? How does machine learning work?

These are all important questions for a contemporary  life science expert to answer. In this course an overview is given of different phases of the data analysis pipeline using Python and its data analysis ecosystem. No previous knowledge of Python is required.  The course is available until September 15, 2021, with a recommended latest starting date of August 1, 2021. Read more and enroll here for free!

Python is a popular, easy to learn programming language. It is commonly used in the field of data analysis thanks to very efficient libraries available to process large amounts of data. This so called data analysis stack includes libraries such of NumPy, Pandas, Matplotlib and SciPy that we will familiarize ourselves with during this course. To pass the course (with grade 1), one needs to pass 5 weeklyTMC assignments (80%), exam (50%), project (50%), and participate in a peer-review process of the project. A Telegram peer support group and Moodle materials will guide and support you through the course.

No previous knowledge of Python is needed as will start with a quick introduction to Python. It is however assumed that you have good programming skills in some language. In addition, linear algebra and probability calculus are prerequisites of this course. The course lasts for seven weeks and gives 5 credit units. It is recommended that you do this course in the end of bachelor degree or in the beginning of masters degree; preferably before the course “Introduction to Data Science”.

For more information, free matreials and enrolment, visit the official course page and the course introduction page. The course is free of charge, and credits can be transferred to a suitable degree structure for University of Helsinki students.