Data, AI, and Cloud Courses

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

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

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

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

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.

Learn the fundamentals of data visualization using Google Sheets.

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

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.

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

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 perform linear and logistic regression with multiple explanatory variables.

Master sampling to get more accurate statistics with less data.

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

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

Learn how to clean data with Apache Spark in Python.

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

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

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

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

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.

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

Learn to start developing deep learning models with Keras.

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.

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