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Sprachkurs English Computer Science

Python for Data Analysis and Visualisation

Language Course

About the Program

According to the 2022 annual Institute of Electrical and Electronics Engineers (IEEE) Spectrum survey of the top programming languages (source: https://spectrum.ieee.org/top-programming-languages-2022/ieee-spectrums-top-programming-languages-2022), Python continues to be the most popular programming language in job listings. In this course, the fundamentals of Python are covered, with a special focus on the skills necessary for in-depth data analyses and data visualisation. These two skills are fundamental in a wide range of disciplines, including but not limited to the STEM (sciences, technology, engineering and mathematics) and humanities fields of study. In this course, we will cover the following: data types and compound data structures conditional statements and loops Python functions importing, exporting and analysing different types of data using pandas visualising data using Matplotlib and Seaborn bonus: developing interactive plots with Plotly At the end of the two-week course, students will engage in a final personal data analytics and visualisation project, which they will work on and present.
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According to the 2022 annual Institute of Electrical and Electronics Engineers (IEEE) Spectrum survey of the top programming languages (source: https://spectrum.ieee.org/top-programming-languages-2022/ieee-spectrums-top-programming-languages-2022), Python continues to be the most popular programming language in job listings. In this course, the fundamentals of Python are covered, with a special focus on the skills necessary for in-depth data analyses and data visualisation. These two skills are fundamental in a wide range of disciplines, including but not limited to the STEM (sciences, technology, engineering and mathematics) and humanities fields of study. In this course, we will cover the following: data types and compound data structures conditional statements and loops Python functions importing, exporting and analysing different types of data using pandas visualising data using Matplotlib and Seaborn bonus: developing interactive plots with Plotly At the end of the two-week course, students will engage in a final personal data analytics and visualisation project, which they will work on and present.

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Data Science

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Frequently Asked Questions

Quick answers about Python for Data Analysis and Visualisation at Technische Universität Berlin Institut für Technische Akustik

Is Python for Data Analysis and Visualisation at Technische Universität Berlin Institut für Technische Akustik taught in German or English?

This Sprachkurs programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Python for Data Analysis and Visualisation programme cost?

1.050 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Python for Data Analysis and Visualisation at Technische Universität Berlin Institut für Technische Akustik?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Python for Data Analysis and Visualisation?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Technische Universität Berlin Institut für Technische Akustik — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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