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.

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.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

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

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

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

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

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

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

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

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

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 the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

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

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.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

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

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

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

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

Automatisiere die Datenbearbeitung mit KNIME, indem du Zusammenführungen, Aggregationen, Datenbank-Workflows und erweiterte Dateiverarbeitung beherrschst.

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

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