Data Analyst

Dive deep into the world of data: from Python basics to effective data analysis using Pandas, Jupyter, and visualization tools – our hands-on program will equip you with the skills you need for complex data analysis.

What to ExpecT

LEARNING OBJECTIVES​

After completing this training, you will be able to

Target group & Prior Knowledge

Individuals with experience as a BI Analyst who want to deepen their knowledge of data analysis and expand it to include data modeling.

A basic understanding of mathematics and statistics, as well as an understanding of relational databases or experience as a BI Analyst, is recommended.

Training Content at a Glance​

Introduction to Python

  • Getting started with Python and Jupyter Notebook
  • Data types and operators
  • Conditional statements, loops, and loop control
  • Error handling and debugging Python code
  • Working with modules and packages

Versions control and Git

  • Basic Git commands
  • Branching and merging
  • Advanced techniques and rebasing

Pandas and Data Transformations

  • Pandas data structures and data transformation operations
  • Handling missing values and data cleaning
  • Combining and merging DataFrames
  • Automating data transformations and data preparation tasks
  • Descriptive statistics with Pandas and performing statistical analyses

Data visualization

  • Advanced visualizations with Plotly Express
  • Exploratory data analysis – how to identify patterns and trends
Program DATES
  • 8 Sep 2026 – 19 Nov 2026
    • Live Sessions (Duration: 4h)
      • Tue, 8 Sep 2026, 13:15 – 17:15
      • Thu, 10 Sep 2026, 13:15 – 17:15
      • Tue, 15 Sep 2026, 13:15 – 17:15
      • Thu, 17 Sep 2026, 13:15 – 17:15
      • Tue, 22 Sep 2026, 13:15 – 17:15
      • Thu, 24 Sep 2026, 13:15 – 17:15
      • Tue, 29 Sep 2026, 13:15 – 17:15
      • Thu, 1 Oct 2026, 13:15 – 17:15
        – Break –
      • Tue, 3 Nov 2026, 13:15 – 17:15
      • Thu, 5 Nov 2026, 13:15 – 17:15
      • Tue, 10 Nov 2026, 13:15 – 17:15
      • Thu, 12 Nov 2026, 13:15 – 17:15
      • Tue, 17 Nov 2026, 13:15 – 17:15
      • Thu, 19 Nov 2026, 13:15 – 17:15

Further dates are being planned.

PRICE PER PERSON
  • EUR 5,500 excl. VAT

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