Cursussen over data, AI en cloud

• BasisVaardigheidsniveau
• 4.6+
• 454

Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

• GemiddeldVaardigheidsniveau
• 4.5+
• 453

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• GemiddeldVaardigheidsniveau
• 4.7+
• 451

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 445

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

• GemiddeldVaardigheidsniveau
• 4.5+
• 443

Explore ways to work with date and time data in SQL Server for time series analysis

• GemiddeldVaardigheidsniveau
• 4.5+
• 440

Learn to design and run your own Monte Carlo simulations using Python!

• BasisVaardigheidsniveau
• 4.5+
• 434

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

• GemiddeldVaardigheidsniveau
• 4.8+
• 428

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 428

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• GemiddeldVaardigheidsniveau
• 4.3+
• 426

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• BasisVaardigheidsniveau
• 4.4+
• 423

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

• GemiddeldVaardigheidsniveau
• 4.5+
• 421

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

• GeavanceerdVaardigheidsniveau
• 4.4+
• 418

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

• GemiddeldVaardigheidsniveau
• 4.5+
• 417

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• GemiddeldVaardigheidsniveau
• 4.6+
• 416

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

• GemiddeldVaardigheidsniveau
• 4.3+
• 412

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

• GemiddeldVaardigheidsniveau
• 4.6+
• 409

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 408

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• GeavanceerdVaardigheidsniveau
• 4.7+
• 406

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

• GemiddeldVaardigheidsniveau
• 4.7+
• 405

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• BasisVaardigheidsniveau
• 4.7+
• 404

Use your knowledge of common spreadsheet functions and techniques to explore Python!

• GemiddeldVaardigheidsniveau
• 4.5+
• 402

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

• GeavanceerdVaardigheidsniveau
• 4.4+
• 401

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

• GeavanceerdVaardigheidsniveau
• 4.7+
• 394

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

• GemiddeldVaardigheidsniveau
• 4.5+
• 394

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• BasisVaardigheidsniveau
• 4.5+
• 394

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

• GemiddeldVaardigheidsniveau
• 4.3+
• 394

In this course youll learn about basic experimental design, a crucial part of any data analysis.

• GemiddeldVaardigheidsniveau
• 4.3+
• 391

Leverage the power of Python and PuLP to optimize supply chains.

• GemiddeldVaardigheidsniveau
• 4.5+
• 385

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• BasisVaardigheidsniveau
• 4.6+
• 384

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.