Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.7+
• 220

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

• GemiddeldVaardigheidsniveau
• 4.3+
• 220

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

• BasisVaardigheidsniveau
• 4.6+
• 217

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

• GemiddeldVaardigheidsniveau
• 4.6+
• 216

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

• GeavanceerdVaardigheidsniveau
• 4.6+
• 213

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

• GemiddeldVaardigheidsniveau
• 4.6+
• 213

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• GemiddeldVaardigheidsniveau
• 4.3+
• 213

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

• BasisVaardigheidsniveau
• 4.5+
• 210

Get inspired by AI tools to automate prospecting, draft personalized emails, and streamline CRM tasks using Microsoft Copilot for sales.

• GemiddeldVaardigheidsniveau
• 4.4+
• 207

Learn to use the Census API to work with demographic and socioeconomic data.

• GemiddeldVaardigheidsniveau
• 4.5+
• 204

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

• GeavanceerdVaardigheidsniveau
• 4.7+
• 201

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• BasisVaardigheidsniveau
• 4.6+
• 201

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

• BasisVaardigheidsniveau
• 4.5+
• 201

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

• BasisVaardigheidsniveau
• 4.8+
• 200

Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

• GeavanceerdVaardigheidsniveau
• 4.7+
• 195

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• GemiddeldVaardigheidsniveau
• 4.5+
• 195

Learn how to pull character strings apart, put them back together and use the stringr package.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 194

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• BasisVaardigheidsniveau
• 4.5+
• 193

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• GemiddeldVaardigheidsniveau
• 4.8+
• 185

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

• BasisVaardigheidsniveau
• 4.8+
• 185

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

• GemiddeldVaardigheidsniveau
• 4.6+
• 184

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 184

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

• BasisVaardigheidsniveau
• 4.6+
• 183

Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

• BasisVaardigheidsniveau
• 4.4+
• 183

Learn how to produce interactive web maps with ease using leaflet.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 179

Learn to use the Bioconductor package limma for differential gene expression analysis.

• GemiddeldVaardigheidsniveau
• 4.2+
• 178

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• GemiddeldVaardigheidsniveau
• 4.6+
• 177

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• GemiddeldVaardigheidsniveau
• 4.5+
• 177

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+
• 177

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.

• GemiddeldVaardigheidsniveau
• 4.7+
• 176

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.