Daten-, KI- und Cloud-Kurse

Tauchen Sie ein und lernen Sie, wie man Klassen erstellt und Vererbung sowie Polymorphismus nutzt.

Erfahren Sie, wie Sie Daten-Engineering-Workflows implementieren und planen.

Erkunde Datenstrukturen wie Listen, Stacks, Queues, Hash-Tabellen, Graphen sowie Such- und Sortieralgorithmen!

Lerne die Grundlagen der Arbeit mit Big Data mit PySpark.

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

Python-Tests meistern: Methoden lernen, Prüfungen erstellen und fehlerfreien Code mit pytest und unittest sichern.

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

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

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

This course focuses on feature engineering and machine learning for time series data.

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

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Lerne, wie du mit Apache Spark in Python Daten bereinigen kannst.

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Learn about ARIMA models in Python and become an expert in time series analysis.

Prepare for your next coding interviews in Python.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

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

Lernen und nutzen Sie leistungsstarke Deep Reinforcement Learning-Algorithmen, inkl. Optimierungstechniken.

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

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

In this course you will learn to fit hierarchical models with random effects.