Daten-, KI- und Cloud-Kurse

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

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

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

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 how to work with streaming data using serverless technologies on AWS.

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

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

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

This course covers everything you need to know to build a basic machine learning monitoring system in Python

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

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

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

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

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

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

Are you curious about the inner workings of the models that are behind products like Google Translate?

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Verwenden Sie Überlebensanalyse, um Zeit-bis-Ereignis-Daten zu bearbeiten und Überlebenszeit vorherzusagen.

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn to build pipelines that stand the test of time.

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

In this course youll learn how to leverage statistical techniques for working with categorical data.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

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

Learn to process sensitive information with privacy-preserving techniques.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.