Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.4+
• 257

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

• AdvancedSkill Level
• 4.6+
• 256

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• IntermediateSkill Level
• 4.5+
• 255

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

• IntermediateSkill Level
• 4.5+
• 253

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

• IntermediateSkill Level
• 4.5+
• 253

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

• IntermediateSkill Level
• 4.3+
• 252

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

• IntermediateSkill Level
• 4.7+
• 251

Learn how to design and implement triggers in SQL Server using real-world examples.

• AdvancedSkill Level
• 4.3+
• 251

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• IntermediateSkill Level
• 4.7+
• 249

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

• IntermediateSkill Level
• 4.7+
• 248

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

• BasicSkill Level
• 4.6+
• 248

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

• BasicSkill Level
• 4.5+
• 248

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

• BasicSkill Level
• 4.4+
• 246

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

• IntermediateSkill Level
• 4.4+
• 246

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

• BasicSkill Level
• 4.5+
• 241

Learn how to prepare and organize your data for predictive analytics.

• AdvancedSkill Level
• 4.6+
• 240

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• AdvancedSkill Level
• 4.6+
• 237

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

• AdvancedSkill Level
• 4.5+
• 237

In this course youll learn techniques for performing statistical inference on numerical data.

• BasicSkill Level
• 4.8+
• 236

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• BasicSkill Level
• 4.6+
• 235

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

• IntermediateSkill Level
• 4.2+
• 231

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• BasicSkill Level
• 4.8+
• 229

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

• IntermediateSkill Level
• 4.6+
• 229

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

• IntermediateSkill Level
• 4.7+
• 228

Learn efficient techniques in pandas to optimize your Python code.

• AdvancedSkill Level
• 4.6+
• 228

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• AdvancedSkill Level
• 4.7+
• 225

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

• BasicSkill Level
• 4.6+
• 225

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

• IntermediateSkill Level
• 4.5+
• 223

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

• AdvancedSkill Level
• 4.6+
• 222

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

• IntermediateSkill Level
• 4.6+
• 222

Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.