Data Science with Python

This course will focus on Data Science with Python, starting with the basic of Python programming and machine learning algorithms to solving arbitrary complex models using graphical Bayesian modelling and sampling.

Course leader

Sergej Dogadov is a Teaching Assistant at TU Berlin in the department for Intelligent Data Analysis and Machine Learning with more than five years of teaching experience. He holds B.S. and M.S. degrees in computer science from the TU Berlin.

Target group

This course is designed for current university students, working professionals and any individuals interested in knowing how to apply machine learning techniques in order to do data analysis efficiently with Python programming language. Participants from all fields and disciplines are welcome.

Course aim

Code in Python with Jupyter Notebooks ● Use popular libraries such as Numpy, Pandas, Matplotlib etc. in Python ● Manipulate and visualize data in Python ● Do object orientated coding in Python ● Run exploratory analysis on data and gain new insights ● Implement simple Machine Learning algorithms "