Daten-, KI- und Cloud-Kurse

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

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

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

Understand the fundamentals of Machine Learning and how its applied in the business world.

Tauche ein in die aufregende Welt der APIs und lerne die Grundlagen der Nutzung von und Arbeit mit Web-APIs mit Python kennen.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

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

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

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

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

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

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

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

Erfahren Sie, wie Sie bessere Geschäftsentscheidungen mit praktischen Datenrahmen treffen—ohne Programmierung.

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

Improve data literacy skills by analyzing remote working policies.

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

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

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

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Build the foundation you need to think statistically and to speak the language of your data.

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

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.