Daten-, KI- und Cloud-Kurse

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Learn how to design and implement triggers in SQL Server using real-world examples.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

Build AI teams that work together, automate workflows, and generate content with CrewAI.

Learn the bag of words technique for text mining with R.

Learn how to efficiently collect and download data from any website using R.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Learn how to access financial data from local files as well as from internet sources.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Learn how to pull character strings apart, put them back together and use the stringr package.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.