Python Programming: Data Science

Course overview

SQL Data Integration in Data Science Projects - Connecting SQL databases with Python for effective data collection - Using SQL queries in combination with Pandas for data manipulation Data Analysis with Pandas - Utilizing DataFrames for diverse data analyses and transformations - Implementing aggregations, merges, and groupings for data preparation Numerical Calculations with NumPy - Using NumPy arrays for fast and efficient numerical calculations - Applying linear algebra and statistical functions for data analysis Data Transformation and Cleaning - Using Pandas and NumPy to create clean and analyzable datasets - Eliminating missing values and duplicates to enhance data quality Best Practices for Data Science - Optimizing calculations through efficient data structures and algorithms - Utilizing visualization libraries to present insights from the data

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-26T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning