Data Analysis and Python

Course overview

Goals of the Training The focus of the Data Analysis and Python training is to impart knowledge and skills in the areas of data analysis and programming. The content includes an introduction to Data Science as well as advanced data analysis techniques. Topics such as Data Analytics and Big Data are also covered to provide a comprehensive understanding of data processing. Practical projects for data analysis and object-oriented and functional programming with Python offer the opportunity to apply and deepen the learned material. An introduction to programming with Python rounds off the offering and lays the foundation for the development of programming skills. The training requires prior knowledge of Python, common machine learning libraries, and data analysis. In summary, it provides a foundation for anyone looking to advance in the field of data analysis and Python. Content of the Training Introduction to Data Science Introduction to Data Science Data Data Science in Business Statistics Machine Learning Advanced Data Analysis Analysis of Business Performance Text Mining Web and Social Media Analysis Experimentation and Testing Data Analytics and Big Data Introduction to Data Analysis Statistical Fundamentals Data Mining Big Data Methods and Technologies Legal Aspects of Data Analysis Solution Scenarios Application of Big Data in Industry Project: Data Analysis Transfer of methodological knowledge to implement analytical use cases in the real world from the aforementioned problem areas. Introduction to Programming with Python Python as a Programming Language for Data Science Variables and Built-in Data Types Statements and Functions Error and Exception Handling Important Python Data Science Modules Project: Object-Oriented and Functional Programming with Python This course introduces students to the advanced programming concepts of object-oriented and functional programming and demonstrates how these are implemented in the Python programming language.

Upcoming dates

• 2026-10-22T22:00:00.000Z · 2027-04-22T22:00:00.000Z · Karlsruhe, Baden · Blended Learning
• 2026-10-22T22:00:00.000Z · 2027-04-22T22:00:00.000Z · Leinfelden-Echterdingen · Blended Learning
• 2026-10-22T22:00:00.000Z · 2027-04-22T22:00:00.000Z · Nürnberg, Mittelfranken · Blended Learning
• 2026-10-22T22:00:00.000Z · 2027-04-22T22:00:00.000Z · Mannheim · Blended Learning
• 2026-10-22T22:00:00.000Z · 2027-04-22T22:00:00.000Z · Leipzig · Blended Learning