Python for Datascience

This is an introductory course on Python with a focus on data science aimed at engineers and researchers.
The course content is designed for beginners who have some programming experience, possibly in another language, as well as for intermediate to advanced levels who can benefit from reviews and background information that is often overlooked.

Mode:
The course aims to be tool agnostic, although we will use tools such as Jupyter notebook and Spyder during the coursework. We will cover the basics of the language and learn the fundamentals of the standard. After establishing the foundations, we will explore tools related to data science from the SciPy stack.

The course will be conducted online and will take approximately 12 hours, spread over three days.

• 05.06. 09:00-01:00 am
• 06.06.09:00-01:00 am
• 07.06. 09:00-01:00 am

Day 1:

• Introduction and Setup
• Datatypes and Containers
• Imperative Programming (Loops and functions)

Day 2:

• Object Oriented Programming
• Numpy
• Pandas
• Excercises with Data I/O

Day 3

• Matplotlib/Plotly
• Excercises with Plotting
• Connecting to Databases (SQL; on interest AQL)
• Introduction on Selected Topics (e.g. Keras for ML, Paraview for Big Data Visualization)