Data, AI, and Cloud Courses

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

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

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

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

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

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

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Learn the fundamentals of data visualization using Google Sheets.

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

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Master the key concepts of data management, from life cycle stages to security and governance.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

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

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

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

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

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

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.