Data science courses

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

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.

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!

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

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

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.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

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

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

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

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

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

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

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.

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.

Prepare for your next coding interviews in Python.

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

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

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

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

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.

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

Improve data literacy skills by analyzing remote working policies.

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

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.