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Python for Data Analysis and Visualization

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Program Overview

According to the 2022 annual IEEE Spectrum survey of the top programming languages, Python remains the most popular programming language in job listings. This course covers the fundamentals of Python, with a special focus on the skills necessary for in-depth data analysis and data visualization. These two skills are fundamental in a wide range of disciplines, including but not limited to 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 analyzing different types of data using pandas
Visualizing data using Matplotlib and Seaborn
Bonus: developing interactive plots with Plotly

At the end of the two-week course, students will work and present a final personal data analytics and visualization project.

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Program Highlights

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 Seaborn packages, effectively and clearly presenting analytical results (i.e. data storytelling).

What's Included

Tuition & Fees
Public Transportation Pass
Cultural Training / Program / Orientation
Academic Credit
Certificate of Completion
On-Site / In-Country Staff Support

Program Details

Learn all the nitty gritty details you need to know

Locations

  • Berlin, Germany

Fields & Subjects

  • Computer Science & IT
  • Humanities
  • Mathematics
  • Technology
  • Computer Programming
  • Science
  • Engineering

Available Terms / Availability

  • Years Offered
  • 2026
  • Terms Available
  • Winter

Eligible Nationalities

  • All Nationalities
  • This Program is also open to Solo, Group

Education Levels & Language

  • Language
  • English
  • Education
  • Any/All Education Levels Accepted

Accommodation Options

  • Other

Application Procedures

  • Online Application

Age Requirement

18-35

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