Data science courses

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

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

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

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

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

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

Improve data literacy skills by analyzing remote working policies.

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

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

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

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

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

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

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

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

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

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

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

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

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

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

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

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

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

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

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

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

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

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

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