Berlin, Germany

Data Science with Python

online course
when 26 July 2021 - 13 August 2021
language English
duration 3 weeks
credits 5 EC
fee EUR 980

This course will focus on using Python for Data Science. You will learn to use the tools needed to analyze, understand and gain new insights from data in Python. We will begin with the very basics of Python and end with utilizing powerful libraries such as Numpy, Pandas and Matplotlib. The course will also give compact insights to Machine Learning by realizing simple algorithms with Python.

Course leader

Jason Harris is a Research Assistant in the Robotics and Biology Laboratory (RBO) of the TU Berlin and a graduate student in Computer Engineering, specializing in robotic technologies. At the RBO he develops & investigates the behavior of robotic hands.

Target group

This course is designed for current university students, working professionals and any individuals with an interest in furthering their knowledge and skills in programming with Python for Data Science and Machine Learning.

Participants from all fields and disciplines are welcome.

Course aim

Learning Goals:

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

Credits info

5 EC
We will ask participants to fulfill the following technical requirements:
• Fully functional device (laptop, tablet, PC)
• Stable internet connection
• Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real names as zoom account names.)
• Recommended: external headset for better sound quality

Fee info

EUR 980: Fee for students.
The fee covers the course, course materials, and a digital cultural program.
EUR 1460: Fee for working professionals/ non- students.
The fee covers the course, course materials, and a digital cultural program.