Overview
Key facts
The Python for Data Analysis and Visualization program is offered at TU Berlin.
- Install and run Python and all other needed external packages
- Write basic python code, including conditional statements, loops and functions
- Import and export data in python
- Analyze different types of data in python using the pandas package
- Create meaningful visualizations in python to summarize different types of data using Matplotlib and seaboarn packages
- Effectively and clearly present analytical results, i.e. data storytelling
Programme Structure
Main course components:
In this course, we will cover the following regarding Python as a tool for data analysis and visualization:
The main learning tools will be:
- Python jupyter notebooks and .py files shared in class by the instructor
- Recommended educational material including online ebooks, blog posts, web-based tutorials and videos. All such materials are free for educational use and will be shared with the students via email and in class
- Recommended books and online courses (not free and these will be optional)
Students are assumed to have their own personal laptops with a Python installation as the main hardware tool required for this course
Lecturers
Dina Deifallah
Key information
Duration
- Full-time
- 14 days
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Berlin, Germany
Disciplines
Software Engineering Data Analytics View 9 other Short Courses in Software Engineering in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Participants of the TU Berlin Summer School must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Furthermore, students should know fundamentals of mathematics and statistics as taught in Bachelor programs.
Some basic programming knowledge, but not necessarily in python, is recommended for this course.Students are assumed to have their own personal laptops with a Python installation as the main hardware tool required for this course.
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Tuition Fees
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International Applies to you
Applies to youNon-residents1050 EUR / full≈ 1050 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals1050 EUR / full≈ 1050 EUR / full
Additional Details
- Working professional/Non-student: 1250 Euro
Living costs
Berlin
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.