Data science courses

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

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

This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.

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

Transform almost any dataset into a tidy format to make analysis easier.

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

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

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

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

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

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

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

Prepare for your next coding interviews in Python.

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

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

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

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

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

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

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.

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

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

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

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

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

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

Explore Large Language Models (LLMs) in business. Realize their value and where you can begin utilizing them today.

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

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

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