Tutorials zur Datenanalyse

INSERT INTO lets you add data to your tables. Learn how to use it in this tutorial.

COUNT() lets you count the number of rows that match certain conditions. Learn how to use it in this tutorial.

DATEDIFF() is one of the most widely used date data manipulation functions in SQL. Master it by reading this tutorial.

Discover how to make your Power BI reports more insightful, informative, and interactive with this advanced analytical features tutorial.

Learn basic visualizations of various data structures using Bokeh.

Data cleaning is a very basic building block of data science. Learn the importance of data cleaning and how to use Python and carry out the process.

Use Python Pandas and select columns from DataFrames. Follow our tutorial with code examples and learn different ways to select your data today!

In this Python tutorial, explore movie data of popular streaming platforms and build a recommendation system.

Learn how to sort vectors, data frames, and more in R using order(), sort(), and dplyr's arrange() with practical examples.

Learn how to effectively use list comprehension in Python to create lists, to replace (nested) for loops and the map(), filter() and reduce() functions, ...!

Wondering whether you should use Python or R for data analysis? You’ve come to the right place.

Discover how to write reusable and efficient Python functions. Master parameters, return statements, and advanced topics like lambda functions. Organize your code better with main() and other best practices.