Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.5+
• 259

Master Amazon Redshifts SQL, data management, optimization, and security.

• GemiddeldVaardigheidsniveau
• 4.2+
• 258

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• GemiddeldVaardigheidsniveau
• 4.3+
• 255

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

• GemiddeldVaardigheidsniveau
• 4.6+
• 248

Learn how to use Python to analyze customer churn and build a model to predict it.

• GemiddeldVaardigheidsniveau
• 4.5+
• 248

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

• GemiddeldVaardigheidsniveau
• 4.5+
• 248

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

• GemiddeldVaardigheidsniveau
• 4.5+
• 247

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

• GemiddeldVaardigheidsniveau
• 4.5+
• 246

Learn how to visualize time series in R, then practice with a stock-picking case study.

• GemiddeldVaardigheidsniveau
• 4.6+
• 242

Learn how to develop deep learning models with Keras.

• GemiddeldVaardigheidsniveau
• 4.7+
• 234

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

• GemiddeldVaardigheidsniveau
• 4.6+
• 229

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• GemiddeldVaardigheidsniveau
• 4.7+
• 225

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

• GemiddeldVaardigheidsniveau
• 4.5+
• 225

Learn efficient techniques in pandas to optimize your Python code.

• GemiddeldVaardigheidsniveau
• 4.6+
• 223

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• 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.

• 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.

• 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.

• 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.

• GemiddeldVaardigheidsniveau
• 4.5+
• 195

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

• GemiddeldVaardigheidsniveau
• 4.8+
• 185

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 184

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

• 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.

• GemiddeldVaardigheidsniveau
• 4.5+
• 175

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