Daten-, KI- und Cloud-Kurse

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

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

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

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

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

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

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

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

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Learn how to approach and win competitions on Kaggle.

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

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

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.

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

Learn to design and run your own Monte Carlo simulations using Python!

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Leverage the power of Python and PuLP to optimize supply chains.

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

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

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

In this course youll learn how to perform inference using linear models.