Daten-, KI- und Cloud-Kurse

Discover how to use the income statement and balance sheet in Power BI

Learn the essentials of parsing, manipulating and computing with dates and times in R.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Learn to build recommendation engines in Python using machine learning techniques.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Master Amazon Redshifts SQL, data management, optimization, and security.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Mach deine KI-Projekte einfacher, indem du modulare Modelle erstellst und mit PyTorch Lightning die fortgeschrittene Optimierung meisterst!

This course is for R users who want to get up to speed with Python!

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Learn how to use Python to analyze customer churn and build a model to predict it.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Lerne, wie du mit Keras Deep-Learning-Modelle entwickelst.

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

Lerne, wie du mit Amazon Bedrock auf grundlegende KI-Modelle zugreifen und mit KI arbeiten kannst – ohne dich um komplizierte Infrastruktur kümmern zu müssen.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

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

Learn efficient techniques in pandas to optimize your Python code.

Develop the skills you need to clean raw data and transform it into accurate insights.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn how to segment customers in Python.