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.

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

Learn how to create one of the most efficient ways of storing data - relational databases!

Learn how to analyze a SQL table and report insights to management.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

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

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

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

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Explore ways to work with date and time data in SQL Server for time series analysis

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Develop the skills you need to clean raw data and transform it into accurate insights.

Learn how to write recursive queries and query hierarchical data structures.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Learn how to design and implement triggers in SQL Server using real-world examples.

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

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.

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 tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.