Daten-, KI- und Cloud-Kurse

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

Create interactive data visualizations in Python using Plotly.

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

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

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

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

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

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 to perform linear and logistic regression with multiple explanatory variables.