Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 1.1K

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• IntermediateSkill Level
• 4.7+
• 1.1K

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

• IntermediateSkill Level
• 4.5+
• 1.1K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• IntermediateSkill Level
• 4.7+
• 1.1K

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• IntermediateSkill Level
• 4.7+
• 1.1K

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

• IntermediateSkill Level
• 4.6+
• 1.1K

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

• IntermediateSkill Level
• 4.6+
• 1.1K

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

• IntermediateSkill Level
• 4.4+
• 1K

Master sampling to get more accurate statistics with less data.

• IntermediateSkill Level
• 4.6+
• 1K

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• IntermediateSkill Level
• 4.6+
• 1K

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

• IntermediateSkill Level
• 4.2+
• 973

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• IntermediateSkill Level
• 4.7+
• 937

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• IntermediateSkill Level
• 4.6+
• 925

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• IntermediateSkill Level
• 4.5+
• 910

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• IntermediateSkill Level
• 4.5+
• 891

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

• IntermediateSkill Level
• 4.5+
• 889

Transform almost any dataset into a tidy format to make analysis easier.

• IntermediateSkill Level
• 4.7+
• 887

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

• IntermediateSkill Level
• 4.3+
• 886

Learn to create your own Python packages to make your code easier to use and share with others.

• IntermediateSkill Level
• 4.7+
• 840

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

• IntermediateSkill Level
• 4.7+
• 833

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• IntermediateSkill Level
• 4.6+
• 826

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

• IntermediateSkill Level
• 4.6+
• 815

Build the foundation you need to think statistically and to speak the language of your data.

• IntermediateSkill Level
• 4.8+
• 797

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

• IntermediateSkill Level
• 4.7+
• 788

Learn to perform linear and logistic regression with multiple explanatory variables.

• IntermediateSkill Level
• 4.3+
• 786

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• IntermediateSkill Level
• 4.7+
• 773

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

• IntermediateSkill Level
• 4.7+
• 747

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• IntermediateSkill Level
• 4.7+
• 724

In this course, youll learn the basics of relational databases and how to interact with them.

• IntermediateSkill Level
• 4.6+
• 716

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

• IntermediateSkill Level
• 4.5+
• 710

Learn to implement distributed data management and machine learning in Spark using the PySpark package.