Daten-, KI- und Cloud-Kurse

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.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

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 how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

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!

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

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

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 all about how DataCamp builds the best platform to learn and teach data skills.

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

Learn to process sensitive information with privacy-preserving techniques.

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

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

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

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

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

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.

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

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

Learn to use the Bioconductor package limma for differential gene expression analysis.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.