Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.6+
• 349

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• GemiddeldVaardigheidsniveau
• 4.4+
• 345

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• GemiddeldVaardigheidsniveau
• 4.4+
• 339

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• GemiddeldVaardigheidsniveau
• 4.5+
• 338

Learn how to identify, analyze, remove and impute missing data in Python.

• GemiddeldVaardigheidsniveau
• 4.5+
• 336

Discover how to use the income statement and balance sheet in Power BI

• GemiddeldVaardigheidsniveau
• 4.5+
• 335

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• GemiddeldVaardigheidsniveau
• 4.6+
• 331

Learn to build recommendation engines in Python using machine learning techniques.

• GemiddeldVaardigheidsniveau
• 4.6+
• 328

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• GemiddeldVaardigheidsniveau
• 4.4+
• 327

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

• GemiddeldVaardigheidsniveau
• 4.6+
• 326

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• GemiddeldVaardigheidsniveau
• 4.8+
• 324

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• GemiddeldVaardigheidsniveau
• 4.7+
• 319

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• GemiddeldVaardigheidsniveau
• 4.6+
• 318

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• GemiddeldVaardigheidsniveau
• 4.7+
• 312

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• GemiddeldVaardigheidsniveau
• 4.8+
• 309

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• GemiddeldVaardigheidsniveau
• 4.5+
• 308

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

• GemiddeldVaardigheidsniveau
• 4.6+
• 305

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• GemiddeldVaardigheidsniveau
• 4.5+
• 300

Develop the skills you need to clean raw data and transform it into accurate insights.

• GemiddeldVaardigheidsniveau
• 4.6+
• 294

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• GemiddeldVaardigheidsniveau
• 4.5+
• 294

Learn how to design and implement triggers in SQL Server using real-world examples.

• GemiddeldVaardigheidsniveau
• 4.6+
• 289

Learn how to segment customers in Python.

• GemiddeldVaardigheidsniveau
• 4.5+
• 284

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• GemiddeldVaardigheidsniveau
• 4.7+
• 269

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 268

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

• GemiddeldVaardigheidsniveau
• 4.5+
• 268

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• GemiddeldVaardigheidsniveau
• 4.7+
• 266

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

• GemiddeldVaardigheidsniveau
• 4.7+
• 265

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

• GemiddeldVaardigheidsniveau
• 4.1+
• 265

Learn how to efficiently collect and download data from any website using R.

• GemiddeldVaardigheidsniveau
• 4.3+
• 263

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• GemiddeldVaardigheidsniveau
• 4.6+
• 261

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!