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Python 2: Data analytics in Python

The course is recommendetd to anyone who wants to upgrade their programming skills towards data processing. The course introduces the key areas to be aware of when processing data in Python. You will learn about Python data processing libraries through real-world examples.

Content

  • Introduction to data analytics and environment preparation
  • Introduction to NumPy
  • Introduction to Pandas
  • Data preparation and cleaning
  • Data display
  • Importing complex data formats
  • Data aggregation, merging and transformation
  • Working with time data
  • Web Scraping
  • Working with databases
  • Processing large datasets in pandas
  • Optimising code for large datasets

Recommended prior knowledge:

  • Participation in a Python basic course or knowledge of the Python programming language (data types, operators, for, while, if statements, functions, errors, object-oriented programming principles).
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Learning objectives

  • Use the Python programming language to process and display data
  • Learn the steps of data analysis with practical examples using different Python libraries (pandas, NumPy, matplotlib…)

Target group

  • Anyone who wants to upgrade their programming skills in Python
2025-02-19 16:15:00
2025-03-15 06:32:00