Immerse yourself in the world of data with our Data Analyst course: From Python basics to effective data analysis with pandas, Jupyter and visualization tools, our hands-on program will equip you to make data-based decisions.
Upon completion, you will be ready to confidently analyze and visualize data and turn them into meaningful insights.
Module 1: Python Basics
A comprehensive introduction to the world of the Python programming language. The fundamentals you need to work efficiently with Python.
Module 2: Data analysis with pandas and Jupyter
Handling, manipulation and evaluation of (relational) data in Python. Basic concepts of data analysis and statistics and their implementation with Python.
Module 3: Data visualization with Python
Various graphical representations of data and analysis results are discussed and Python packages for visualization, such as Plotly, are introduced.
Module 4: Relational databases & SQL with Python
Acquire the basic knowledge and skills for working with relational databases using Structured Query Language (SQL).
Learn more about our specialized offering
Almost every day, well-known companies find themselves in the headlines because they have been the victim of a cyberattack. For a long time now, security training and the development of measures have no longer been about the question of whether one will be affected, but when and to what extent. However, this does not mean that manufacturing companies should just sit and wait until the time comes. In this paper, we have listed what companies can do in advance to delay attacks and be as resilient as possible to attacks.
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