Introduction to Python for Data Science

Upon completion of the course, you understand the basics of the Python programming language and you are capable of developing simple applications. You will also learn the basics of acquiring, pre-processing and visualizing data using the Pandas library.

Teaching Form

The teaching is realized as onsite contact teaching, consisting of lectures and supervised programming exercises. The course grade is assessed based on practical programming assignments.

Please note, this course is free of charge for participants who within a year continue their studies via Arcada's Big Data Analytics Specalisation programme. (The offer will be realized when you apply to the Specialisation programme) 
 

Course Content

Basics

• Python as a programming language
• Python environments (Anaconda)
• Jupyter notebooks
• Others

Python programming basics

• Program structure
• Built-in functions
• Variables
• Data types
• Operators
• Repetition and conditions
• Functions and procedures

Data science

• Data pre-processing and manipulation with Pandas
• Numpy arrays
• Visulization with Matplotlib and seaborn

Timetable

Contact teaching is organized during the time period 19.8.2025 - 10.9.2025. 

Please note, that the timetable has been changed on 23.6.2025.

Teacher:

Rene Herrmann, Senior Lecturer in Natural Sciences and Composite Materials.