Data, AI, and Cloud Courses

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

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

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.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

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

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

Learn the fundamentals of data visualization using Google Sheets.

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

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

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

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Master sampling to get more accurate statistics with less data.

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

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

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

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

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

Learn how to clean data with Apache Spark in Python.

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

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.

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

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

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

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

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

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

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