Python for Data Science and Machine Learning

Course overview

Installation of Anaconda and first steps with Python Python and Anaconda The first programs Input and output Data types and variables Arithmetic operators Data Science (Online Learning Program) What is Data Science? Central goals of Data Science Data democratization Data governance Data quality Self-service analytics Artificial Intelligence (Online Learning Program) Machine Learning Buzzword check Strong and weak AI Potential of AI Myth and Truth What can AI really do? Advanced Programming with Python Control structures Functions Enumerated types Formatted output Object-Oriented Programming with Python Concepts of object-oriented programming Creating classes and objects Magic methods Inheritance Data encapsulation Lists and Data Structures in Python Sequential data types Sets Dictionaries Exception Handling, File Processing, and Modularization Exception handling File processing Modularization Numerical Python with NumPy What is NumPy? Arrays Advanced techniques for access File processing Data Visualization with Matplotlib What is Matplotlib? Creating charts Designing charts Multiple plots Other forms of representation Data Processing with Pandas What is Pandas? The "Series" class The "DataFrame" class Reading and writing files Visualizing data with Pandas Statistics and Probability Calculations with Python Basics of statistics Descriptive statistics Combinatorics Probability theory Big Data and Data Science Basics Preparing and processing data Time series analysis Practical examples Artificial Intelligence Basics Search algorithms The traveling salesman problem Machine Learning with Python Basics Important Python libraries for machine learning A postal code recognition

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-02-18T23:00:00.000Z · Fernunterricht
• 2026-11-01T23:00:00.000Z · 2027-05-11T22:00:00.000Z · Fernunterricht
• 2026-11-29T23:00:00.000Z · 2027-03-18T23:00:00.000Z · Fernunterricht
• 2026-11-29T23:00:00.000Z · 2027-06-08T22:00:00.000Z · Fernunterricht