Daten-, KI- und Cloud-Kurse

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

In this course, youll learn the basics of relational databases and how to interact with them.

Learn how to identify, analyze, remove and impute missing data in Python.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Explore ways to work with date and time data in SQL Server for time series analysis

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Analyze text data in R using the tidy framework.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn how to segment customers in Python.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.