Daten-, KI- und Cloud-Kurse

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Lerne, wie du mit Keras Deep-Learning-Modelle entwickelst.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Learn how to write recursive queries and query hierarchical data structures.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

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

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn efficient techniques in pandas to optimize your Python code.

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

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Learn how to segment customers in Python.