Daten-, KI- und Cloud-Kurse

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Learn to easily summarize and manipulate lists using the purrr package.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Learn to create animated graphics and linked views entirely in R with plotly.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn to analyze, plot, and model multivariate data.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Learn the fundamentals of valuing stocks.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

In this course youll learn how to apply machine learning in the HR domain.

In this course youll learn how to use data science for several common marketing tasks.

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

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

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.