Daten-, KI- und Cloud-Kurse

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

This course will show you how to combine and merge datasets with data.table.

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

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 access financial data from local files as well as from internet sources.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

This course is for R users who want to get up to speed with Python!

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

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

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

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

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

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn efficient techniques in pandas to optimize your Python code.

Explore HR data analysis in Tableau with this case study.

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

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Learn to use the Census API to work with demographic and socioeconomic data.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

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

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!