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!

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

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

Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

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 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.

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

Learn the key concepts of data modeling on Power BI.

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

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

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

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

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

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

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

Master data modeling in Power BI.

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

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

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

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

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

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

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

Learn how to identify, analyze, remove and impute missing data in Python.

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.