Data science courses

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

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

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

This course introduces dbt for data modeling, transformations, testing, and building documentation.

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

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

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

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

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.

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

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

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

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

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

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

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

Prepare for your next coding interviews in Python.

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

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

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.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

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

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

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.

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.

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