Data science courses

Understand the fundamentals of Machine Learning and how it's applied in the business world.

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

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

Learn the fundamentals of working with big data with PySpark.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

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

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

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

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

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

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

In this course you'll learn the basics of working with time series data.

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Master data modeling in Power BI.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

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

Learn how to implement and schedule data engineering workflows.

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

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

Learn how to explore, visualize, and extract insights from data.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

In this course you will learn the basics of machine learning for classification.

In this course you'll learn how to get your cleaned data ready for modeling.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

In this course you will learn the details of linear classifiers like logistic regression and SVM.