Daten-, KI- und Cloud-Kurse

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Lerne, Daten so schnell und genau wie möglich zu bereinigen, damit du von Rohdaten zu fantastischen Erkenntnissen kommst.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

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

Learn to process, transform, and manipulate images at your will.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Setze Versuchsanordnungen um und führe robuste statistische Analysen durch, um präzise und gültige Schlussfolgerungen zu ziehen!

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

In this course you will learn the basics of machine learning for classification.

Learn to start developing deep learning models with Keras.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

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

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

In diesem Kurs wirst du T-SQL verwenden, die SQL-Variante, die in Microsofts SQL Server für die Datenanalyse verwendet wird.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

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

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

Transform almost any dataset into a tidy format to make analysis easier.

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

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Lernen Sie, Finanzanalysen in Power BI durchzuführen oder vorhandene Finanzkenntnisse anzuwenden.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Master sampling to get more accurate statistics with less data.

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

Create new features to improve the performance of your Machine Learning models.