Data, AI, and Cloud Courses

• AdvancedSkill Level
• 4.3+
• 325

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

• IntermediateSkill Level
• 4.6+
• 322

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

• AdvancedSkill Level
• 4.5+
• 321

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• BasicSkill Level
• 4.6+
• 317

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

• BasicSkill Level
• 4.8+
• 312

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• BasicSkill Level
• 4.8+
• 310

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• IntermediateSkill Level
• 4.7+
• 310

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• AdvancedSkill Level
• 4.6+
• 310

Learn how to work with streaming data using serverless technologies on AWS.

• AdvancedSkill Level
• 4.6+
• 308

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• IntermediateSkill Level
• 4.6+
• 308

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• IntermediateSkill Level
• 4.5+
• 307

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• BasicSkill Level
• 4.6+
• 305

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

• IntermediateSkill Level
• 4.8+
• 304

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• IntermediateSkill Level
• 4.7+
• 301

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

• BasicSkill Level
• 4.6+
• 301

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

• IntermediateSkill Level
• 4.7+
• 298

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• IntermediateSkill Level
• 4.5+
• 298

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

• IntermediateSkill Level
• 4.5+
• 296

Develop the skills you need to clean raw data and transform it into accurate insights.

• IntermediateSkill Level
• 4.4+
• 290

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• AdvancedSkill Level
• 4.6+
• 287

Learn how to write recursive queries and query hierarchical data structures.

• IntermediateSkill Level
• 4.5+
• 285

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

• BasicSkill Level
• 4.7+
• 284

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

• IntermediateSkill Level
• 4.6+
• 283

Learn how to segment customers in Python.

• IntermediateSkill Level
• 4.5+
• 280

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• BasicSkill Level
• 4.6+
• 278

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

• IntermediateSkill Level
• 4.7+
• 277

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• BasicSkill Level
• 4.7+
• 275

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• IntermediateSkill Level
• 4.7+
• 269

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

• BasicSkill Level
• 4.5+
• 267

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• IntermediateSkill Level
• 4.6+
• 265

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.