Data, AI, and Cloud Courses

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

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

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

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

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

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Learn the fundamentals of data visualization using Google Sheets.

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

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

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

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

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

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

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

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.

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

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

Master sampling to get more accurate statistics with less data.

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

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.

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

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

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 to start developing deep learning models with Keras.

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

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

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