Data science courses

Learn how to create and query relational databases using SQL in just two hours.

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Build real-world Excel skills in just 4 hours. This course will show you time-saving shortcuts and essential functions.

Learn to combine data from multiple tables by joining data together using pandas.

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Learn the key concepts of data modeling on Power BI.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

Learn to use spreadsheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

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

Master data modeling in Power BI.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Analyze text data in R using the tidy framework.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Discover the different ways you can enhance your Power BI data importing skills.