Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.5+
• 170

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• GemiddeldVaardigheidsniveau
• 4.4+
• 170

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

• BasisVaardigheidsniveau
• 4.3+
• 170

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

• GemiddeldVaardigheidsniveau
• 4.5+
• 169

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

• GemiddeldVaardigheidsniveau
• 4.5+
• 166

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• BasisVaardigheidsniveau
• 4.6+
• 165

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

• GeavanceerdVaardigheidsniveau
• 4.6+
• 162

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

• BasisVaardigheidsniveau
• 4.4+
• 161

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

• GemiddeldVaardigheidsniveau
• 4.4+
• 159

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• GeavanceerdVaardigheidsniveau
• 4.3+
• 159

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• GemiddeldVaardigheidsniveau
• 4.7+
• 156

Learn how to access financial data from local files as well as from internet sources.

• GemiddeldVaardigheidsniveau
• 4.2+
• 155

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• GemiddeldVaardigheidsniveau
• 4.6+
• 153

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

• GeavanceerdVaardigheidsniveau
• 4.5+
• 153

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• BasisVaardigheidsniveau
• 4.6+
• 151

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

• GeavanceerdVaardigheidsniveau
• 4.8+
• 150

Use survival analysis to work with time-to-event data and predict survival time.

• GemiddeldVaardigheidsniveau
• 4.6+
• 150

This course will show you how to combine and merge datasets with data.table.

• GeavanceerdVaardigheidsniveau
• 4.4+
• 149

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 148

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

• GemiddeldVaardigheidsniveau
• 4.6+
• 148

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• GemiddeldVaardigheidsniveau
• 4.3+
• 144

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• GemiddeldVaardigheidsniveau
• 4.8+
• 143

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

• BasisVaardigheidsniveau
• 4.8+
• 141

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 141

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• GeavanceerdVaardigheidsniveau
• 4.6+
• 141

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• BasisVaardigheidsniveau
• 4.6+
• 140

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

• BasisVaardigheidsniveau
• 4.5+
• 138

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• GemiddeldVaardigheidsniveau
• 4.7+
• 137

Learn to streamline your machine learning workflows with tidymodels.

• GemiddeldVaardigheidsniveau
• 4.3+
• 137

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• GemiddeldVaardigheidsniveau
• 4.3+
• 137

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.