Data, AI, and Cloud Courses

• BasicSkill Level
• 4.7+
• 253

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

• IntermediateSkill Level
• 4.7+
• 252

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.

• IntermediateSkill Level
• 4.7+
• 250

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

• IntermediateSkill Level
• 4.7+
• 249

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

• AdvancedSkill Level
• 4.7+
• 247

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

• BasicSkill Level
• 4.5+
• 244

Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

• IntermediateSkill Level
• 4.5+
• 242

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

• IntermediateSkill Level
• 4.7+
• 241

Learn efficient techniques in pandas to optimize your Python code.

• BasicSkill Level
• 4.7+
• 241

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

• IntermediateSkill Level
• 4.6+
• 237

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

• IntermediateSkill Level
• 4.5+
• 236

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

• IntermediateSkill Level
• 4.5+
• 235

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

• IntermediateSkill Level
• 4.5+
• 234

Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.

• AdvancedSkill Level
• 4.2+
• 232

In this course youll learn how to perform inference using linear models.

• BasicSkill Level
• 4.6+
• 230

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

• IntermediateSkill Level
• 4.6+
• 230

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

• IntermediateSkill Level
• 4.5+
• 230

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

• IntermediateSkill Level
• 4.4+
• 229

This course will show you how to combine and merge datasets with data.table.

• IntermediateSkill Level
• 4.3+
• 228

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

• BasicSkill Level
• 4.3+
• 220

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

• BasicSkill Level
• 4.7+
• 217

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

• IntermediateSkill Level
• 4.6+
• 216

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• BasicSkill Level
• 4.4+
• 215

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

• BasicSkill Level
• 4.5+
• 214

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

• BasicSkill Level
• 4.4+
• 214

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

• IntermediateSkill Level
• 4.2+
• 213

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

• AdvancedSkill Level
• 4.6+
• 207

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

• IntermediateSkill Level
• 4.7+
• 203

This course is for R users who want to get up to speed with Python!

• IntermediateSkill Level
• 4.6+
• 202

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• AdvancedSkill Level
• 4.6+
• 202

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training