Daten-, KI- und Cloud-Kurse

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

In this course youll learn to use and present logistic regression models for making predictions.

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

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

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Analyze text data in R using the tidy framework.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Learn to manipulate and analyze flexibly structured data with MongoDB.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Lerne, wie du mit Keras und Python Bilder analysierst, indem du Faltungsneuronale Netze aufbaust, trainierst und bewertest.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.