Data, AI, and Cloud Courses

• BasicSkill Level
• 4.7+
• 535

Master Gemini and NotebookLM to automate tasks, boost productivity, and work smarter across Googles AI ecosystem.

• IntermediateSkill Level
• 4.7+
• 535

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

• BasicSkill Level
• 4.6+
• 535

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

• AdvancedSkill Level
• 4.4+
• 533

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

• IntermediateSkill Level
• 4.6+
• 530

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

• IntermediateSkill Level
• 4.7+
• 518

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• BasicSkill Level
• 4.6+
• 517

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

• AdvancedSkill Level
• 4.6+
• 513

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• BasicSkill Level
• 4.5+
• 510

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• IntermediateSkill Level
• 4.7+
• 508

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

• IntermediateSkill Level
• 4.7+
• 508

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

• IntermediateSkill Level
• 4.5+
• 508

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

• IntermediateSkill Level
• 4.5+
• 506

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

• BasicSkill Level
• 4.7+
• 505

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

• BasicSkill Level
• 4.5+
• 499

Using Python and NumPy, learn the most fundamental financial concepts.

• BasicSkill Level
• 4.5+
• 491

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

• BasicSkill Level
• 4.7+
• 490

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

• IntermediateSkill Level
• 4.6+
• 488

Learn how to detect fraud using Python.

• IntermediateSkill Level
• 4.6+
• 485

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• IntermediateSkill Level
• 4.5+
• 482

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• IntermediateSkill Level
• 4.2+
• 481

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

• BasicSkill Level
• 4.6+
• 478

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

• BasicSkill Level
• 4.3+
• 477

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

• IntermediateSkill Level
• 4.7+
• 476

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

• IntermediateSkill Level
• 4.6+
• 474

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

• BasicSkill Level
• 4.5+
• 473

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• IntermediateSkill Level
• 4.7+
• 469

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

• AdvancedSkill Level
• 4.7+
• 468

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• IntermediateSkill Level
• 4.5+
• 466

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

• IntermediateSkill Level
• 4.6+
• 465

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