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: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Plot (Graphics), Spreadsheet Software, Data Preprocessing, Data Visualization, Data Wrangling, Data Analysis, Data Manipulation, Feature Engineering
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Command-Line Interface, C# (Programming Language), .NET Framework, Performance Tuning, Development Environment, Maintainability, Microsoft Development Tools, Application Programming Interface (API), Software Design, Restful API, Software Development Tools, File I/O, Authentications, Application Security, Software Testing, Unit Testing, Package and Software Management
Anfänger · Kurs · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: vSphere DRS & HA, vCenter Server, vSphere Networking and Storage, Virtual Machines, Storage vMotion, vCenter Server Management, Virtualization and Virtual Machines, Performance Tuning, Virtualization, Memory Management, Capacity Management, System Monitoring, Data Migration
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: GitHub, Git (Version Control System), Open Source Technology, Version Control, Software Versioning, File Management, Development Environment, Collaborative Software, System Configuration, Software Installation, Software Documentation
Anfänger · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Preprocessing, Applied Machine Learning, Feature Engineering, Model Training, Machine Learning Methods, Digital Signal Processing, Model Deployment, Data Transformation, Data Pipelines, Data Manipulation, Data Processing, Data Wrangling
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Agile Software Development, Scaled Agile Framework, Run Chart, Conflict Management, Team Management
Mittel · Kurs · 1–3 Monate

Copenhagen Business School
Kompetenzen, die Sie erwerben: Corporate Sustainability, Sustainable Business, Stakeholder Management, Employee Engagement, Stakeholder Engagement, Stakeholder Communications, Stakeholder Analysis, Corporate Strategy, Customer Relationship Building, Social Impact, Cross-Functional Collaboration, Strategic Partnership, Business Modeling
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Vibe coding, Web Development, AI Integrations, Software Installation, GitHub
Anfänger · Kurs · 1–4 Wochen