Daten-, KI- und Cloud-Kurse

Dieser Kurs taucht tiefer in das Azure-Backbone ein und behandelt Themen wie Container, virtuelle Maschinen und vieles mehr.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

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

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

In diesem Kurs lernen Sie Kubernetes-Grundlagen und Container mit Manifests und kubectl zu verwalten.

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

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Lerne, Daten so schnell und genau wie möglich zu bereinigen, damit du von Rohdaten zu fantastischen Erkenntnissen kommst.

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

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

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

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

Improve data literacy skills by analyzing remote working policies.

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

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Setze Versuchsanordnungen um und führe robuste statistische Analysen durch, um präzise und gültige Schlussfolgerungen zu ziehen!

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

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

In this course you will learn the basics of machine learning for classification.

Learn to start developing deep learning models with Keras.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.