Introduction to Python for Data Science
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Price
100 € + 0% VAT -
Delivery method
On-campus -
Language
English -
Scope
5 ECTS -
Course dates
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Last application date
Kickstart your journey into data science with Python. Learn the basics of programming, data analysis, and key tools like pandas and NumPy through hands-on exercises – building skills to turn data into insights and support smarter decisions.
Who is this course for?
This course is intended for you who wish to learn the basics of programming in Python with focus on data science. The skills you develop in this course will also be of great benefit if you continue studying at the Big Data Analytics Specialisation programme at Arcada.
Please note that 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 are admitted to the Specialisation programme.)
What you will learn
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.
Course content
Basics
- Python as a programming language
- Python environments (Anaconda)
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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
Study Format and timetable
Teaching takes place on campus at Arcada, Jan-Magnus Janssonin aukio 1, Helsinki, consisting of lectures and supervised programming exercises. The course grade is assessed based on practical programming assignments.
Study days
Autumn 2026:
- 05 August 4–7 pm
- 06 August 4–7 pm
- 10 August 4–7 pm
- 12 August 4–7 pm
- 17 August 4–7 pm
- 19 August 4–7 pm
- 24 August 4–7 pm
- 26 August 4–7 pm
Please note that the timetable is subject to change.
Contact us about the course
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02 Sep
2026
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