Data, AI, and Cloud Courses

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

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

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

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

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

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

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

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

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Learn about string manipulation and become a master at using regular expressions.

Leverage the OpenAI API to get your AI applications ready for production.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

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

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

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

Master sampling to get more accurate statistics with less data.

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

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

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

Learn to start developing deep learning models with Keras.

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

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

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