Daten-, KI- und Cloud-Kurse

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to transform and analyze data within your Microsoft Fabric account

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Learn how to set up and manage your Microsoft Fabric infrastructure.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn how to produce interactive web maps with ease using leaflet.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Verbessere deine KNIME-Kenntnisse mit diesem Kurs zu Datentransformationen, Spaltenoperationen und Workflow-Optimierungen.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.