Data, AI, and Cloud Courses

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Learn to process, transform, and manipulate images at your will.

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Take your R skills up a notch by learning to write efficient, reusable functions.

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

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

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

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Discover how to make better business decisions by applying practical data frameworks—no coding required.

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

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

Create new features to improve the performance of your Machine Learning models.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

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

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

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

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

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

This course focuses on feature engineering and machine learning for time series data.

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

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

Learn the fundamentals of data visualization using Google Sheets.

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

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

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