Data science courses

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

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

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

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

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

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

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

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

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

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

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

Prepare for your next coding interviews in Python.

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

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

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

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

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

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

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

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

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

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

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

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