Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.7+
• 466

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• GemiddeldVaardigheidsniveau
• 4.7+
• 463

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

• GemiddeldVaardigheidsniveau
• 4.6+
• 456

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• GemiddeldVaardigheidsniveau
• 4.6+
• 455

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• 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.

• 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!

• 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.

• GemiddeldVaardigheidsniveau
• 4.5+
• 421

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

• 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.

• GemiddeldVaardigheidsniveau
• 4.7+
• 405

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

• GemiddeldVaardigheidsniveau
• 4.5+
• 402

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

• GemiddeldVaardigheidsniveau
• 4.5+
• 394

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

• 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.

• GemiddeldVaardigheidsniveau
• 4.7+
• 383

Learn the essentials of parsing, manipulating and computing with dates and times in R.

• GemiddeldVaardigheidsniveau
• 4.5+
• 376

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 366

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

• GemiddeldVaardigheidsniveau
• 4.6+
• 366

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

• GemiddeldVaardigheidsniveau
• 4.3+
• 362

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• GemiddeldVaardigheidsniveau
• 4.5+
• 361

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

• GemiddeldVaardigheidsniveau
• 4.5+
• 360

Analyze text data in R using the tidy framework.

• GemiddeldVaardigheidsniveau
• 4.6+
• 358

Visualize seasonality, trends and other patterns in your time series data.