Daten-, KI- und Cloud-Kurse

Learn about ARIMA models in Python and become an expert in time series analysis.

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

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

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Visualize seasonality, trends and other patterns in your time series data.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

Learn how to identify, analyze, remove and impute missing data in Python.

Lerne GPT-Tools sicher nutzen: wie sie funktionieren, gute Prompts schreiben und Ergebnisse prüfen.

Learn essential finance math skills with practical Excel exercises and real-world examples.

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

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Lerne, verteiltes Datenmanagement und maschinelles Lernen in Spark mit dem PySpark-Paket zu implementieren.

In this course, youll learn the basics of relational databases and how to interact with them.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

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

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

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

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.