Daten-, KI- und Cloud-Kurse

Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

In diesem Kurs lernst du die Grundlagen des maschinellen Lernens für Klassifikationsaufgaben.

Erstelle Finanzanalysen und nutze deine vielleicht schon vorhandenen Finanzkenntnisse zur Visualisierung von Daten mit Power BI.

Lerne die Grundlagen neuronaler Netzwerke und wie du Deep-Learning-Modelle mit Keras 2.0 in Python erstellst.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Dieser Kurs betrachtet Data Science aus dem geschäftsorientierten Blickwinkel und zeigt, wie du mithilfe von Daten dein Unternehmen stärkst.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Lerne die Theorie hinter dem verantwortungsvollen Umgang mit deinen Daten für jedes KI-Projekt, von Anfang bis Ende und darüber hinaus.

Werde zum Profi für Testmethoden und Checks in Python und lerne, fehlerfreien Code mit pytest und unittest zu erstellen.

Entwickle leistungsstarke Multi-Agenten-Systeme, indem du neue agentenbasierte Designmuster im LangGraph-Framework einsetzt.

Lernen Sie, MLflow zur Vereinfachung von Machine-Learning-Anwendungen zu nutzen. Entdecken Sie Tracking.

Learn to perform linear and logistic regression with multiple explanatory variables.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Learn to process, transform, and manipulate images at your will.

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Transform almost any dataset into a tidy format to make analysis easier.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Mache dir praktische Daten-Frameworks zunutze, um bessere Geschäftsentscheidungen zu treffen – ganz ohne Programmierkenntnisse.

Learn about string manipulation and become a master at using regular expressions.