Daten-, KI- und Cloud-Kurse

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Master sampling to get more accurate statistics with less data.

Learn the fundamentals of data visualization using Google Sheets.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

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

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Master the key concepts of data management, from life cycle stages to security and governance.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

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

Erforsche KI- und Datenmonetarisierungsstrategien, baue ethische Infrastrukturen auf und richte Produkte auf die Unternehmensziele aus.

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

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

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

Lerne, wie du die KNIME Analytics Platform für den Datenzugriff, die Datenbereinigung und die Datenanalyse mit einem No-Code/Low-Code-Ansatz nutzen kannst.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Lerne Azure-Dienste wie Compute, Storage und Automation kennen und wende sie in praxisnahen Übungen selbst an.

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.