R-Programmierungs-Kurse können Ihnen helfen zu lernen, wie Daten analysiert, visualisiert und statistisch ausgewertet werden. Sie können Fähigkeiten in Syntax, Funktionen, Paketen und Modellen aufbauen. Viele Kurse stellen Workflows und Beispiele aus Datenprojekten vor.

Kompetenzen, die Sie erwerben: Prompt Engineering, No-Code Development, Agentic Workflows, Application Development, Full-Stack Web Development, Vibe coding, AI Integrations, Web Applications, LLM Application, Generative AI, Back-End Web Development, Frontend Performance, Application Deployment, User Interface (UI), Software Development Life Cycle, System Design and Implementation, Authorization (Computing), Problem Solving, Authentications, Database Management
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Vector Databases, Data Migration, Performance Tuning, Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, AI Security, Containerization, Large Language Modeling, Embeddings, Role-Based Access Control (RBAC), System Monitoring
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Vector Databases, Applied Machine Learning, Metadata Management, LangChain, Document Management, Embeddings, LLM Application, Large Language Modeling, Data Management, Model Evaluation, AI Integrations, Data Pipelines, Application Programming Interface (API), Software Installation, Debugging
Mittel · Kurs · 1–3 Monate
University of Toronto
Kompetenzen, die Sie erwerben: Biowissenschaften, Datenanalyse, Analyse, Mikrobiologie
★ 4.7 (1786) · Anfänger · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Agile Methodology, Technical Communication, Agile Software Development, Sprint Retrospectives, Software Development Methodologies, Agile Project Management, Amazon Bedrock, Claude Code, Agile Product Development, Serverless Computing, Anthropic Claude, Project Design, DevOps, Artificial Intelligence, Devops Tools, Agentic systems, Test Automation, Software Design, Automation, Rust (Programming Language)
Anfänger · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Matplotlib, Plot (Graphics), Trend Analysis, Data Analysis, Environmental Social And Corporate Governance (ESG), Exploratory Data Analysis, Scientific Visualization, Climate Change Programs, Pivot Tables And Charts, Data Presentation, Analytical Skills, Time Series Analysis and Forecasting, Market Data, Sustainable Business, Descriptive Analytics, Data Storytelling, Anomaly Detection, Data Visualization Software, Environmental Monitoring, Report Writing
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Graph Theory, Data Structures, Algorithms, Computational Thinking, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, Software Engineering, Geometry, Performance Tuning, Computational Logic, Solution Design
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Robotics, Machine Controls, 3D Modeling, Automation Engineering, 3D Assets, Simulation and Simulation Software, Simulations, Visualization (Computer Graphics), Computer-Aided Design, Image Analysis, Control Systems, Computer Vision, Python Programming, Extensible Markup Language (XML), Engineering, Software Engineering, C++ (Programming Language), System Configuration
Mittel · Kurs · 1–3 Monate

University of Pittsburgh
Kompetenzen, die Sie erwerben: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Image Analysis, Transfer Learning, Fine-tuning, Deep Learning, Computer Vision, Applied Machine Learning, Technical Communication, Model Optimization, Geospatial Information and Technology, Machine Learning, Data Preprocessing, Model Deployment, Heat Maps, Data Pipelines, Machine Learning Algorithms, Augmented Reality
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Graph Theory, Data Structures, Algorithms, Computer Programming, Python Programming, Computational Thinking, Data Science, Theoretical Computer Science, Data Processing, Geometry, Data Analysis Expressions (DAX), Data Manipulation, Performance Tuning, Data Analysis, Data Management, Applied Mathematics
Mittel · Spezialisierung · 3–6 Monate

Packt
Kompetenzen, die Sie erwerben: Data Modeling, Python Programming, Object Oriented Programming (OOP), Data Persistence, Context Management, Data Structures, Memory Management
Mittel · Kurs · 1–3 Monate