Daten-, KI- und Cloud-Kurse

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Lerne T-SQL kennen, die spezielle SQL-Variante, die Microsoft SQL Server für Datenanalysen nutzt.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Learn to perform linear and logistic regression with multiple explanatory variables.

Master sampling to get more accurate statistics with less data.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Learn to create your own Python packages to make your code easier to use and share with others.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

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

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

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Learn to start developing deep learning models with Keras.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.