Python Programming - Data Science Tools

Course overview

Data Science is the essential skill of the modern workforce. Data science skills enable the extraction of important insights and relevant findings from large datasets. This Data Science training course is aimed at Python developers who want to learn how to utilize the key libraries in the Python Data Science ecosystem. This course covers NumPy for numerical data processing, Pandas for data analysis, as well as Matplotlib and Seaborn for quick visualizations and statistical reports. The training is conducted entirely in the modern Jupyter Notebook format, allowing students to read and write code directly in our training notebooks. You will learn everything you need to know about the entire Data Science tech stack required to work in leading companies worldwide. This course, 'Python for Data Science', follows a structured approach that helps you understand not only how to use Data Science but also why we use it, by balancing practical real-world case studies with the mathematical theory behind Data Science algorithms. Course Objectives: - Learn how to leverage Data Science with Python. - Create data pipeline workflows to analyze, visualize, and derive insights from data. - Build a portfolio of Data Science projects using real data. - Analyze your own datasets and gain insights through data science. - Master key data science skills. - Replicate real-world scenarios and data reports. - Learn NumPy for numerical processing with Python. - Perform feature engineering using real case studies. - Learn Pandas for data manipulation with Python. - Learn Matplotlib to create fully customized data visualizations with Python. - Learn Seaborn to create beautiful statistical charts with Python. - Build a modern portfolio of data science resume projects. - Quickly set up with the Anaconda Data Science Stack environment.

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Heidelberg, Neckar · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Schwetzingen · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Dreieich · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Ludwigshafen am Rhein · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Bensheim · Combined Learning