Cursussen over data, AI en cloud

• GeavanceerdVaardigheidsniveau
• 4.9+
• 60

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

• GeavanceerdVaardigheidsniveau
• 4.3+
• 59

Learn to analyze and model customer choice data in R.

• GeavanceerdVaardigheidsniveau
• 4.6+
• 58

Are you curious about the inner workings of the models that are behind products like Google Translate?

• GemiddeldVaardigheidsniveau
• 4.8+
• 57

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• GemiddeldVaardigheidsniveau
• 4.8+
• 57

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• BasisVaardigheidsniveau
• 4.7+
• 57

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

• BasisVaardigheidsniveau
• 4.7+
• 55

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

• GemiddeldVaardigheidsniveau
• 4.7+
• 52

Learn to create animated graphics and linked views entirely in R with plotly.

• GemiddeldVaardigheidsniveau
• 4.6+
• 51

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

• GemiddeldVaardigheidsniveau
• 4.4+
• 51

Predict employee turnover and design retention strategies.

• GemiddeldVaardigheidsniveau
• 4.9+
• 47

Use C++ to dramatically boost the performance of your R code.

• GeavanceerdVaardigheidsniveau
• 4.6+
• 45

Learn how to tune your models hyperparameters to get the best predictive results.

• BasisVaardigheidsniveau
• 4.5+
• 43

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

• GemiddeldVaardigheidsniveau
• 4.5+
• 41

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

• GemiddeldVaardigheidsniveau
• 4.4+
• 39

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• GemiddeldVaardigheidsniveau
• 4.7+
• 32

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• GeavanceerdVaardigheidsniveau
• 4.3+
• 31

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

• BasisVaardigheidsniveau
• 5.0+
• 30

Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.

• BasisVaardigheidsniveau
• 5.0+
• 26

Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

• BasisVaardigheidsniveau
• 4.7+
• 21

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

• GemiddeldVaardigheidsniveau
• 4.3+
• 21

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network