skill Path

SQL Fundamentals

Gain the SQL skills you need to start or grow your career in any data role. You’ll learn how to query and group data, how to create joins, how to perform subqueries, and how to filter data from multiple sources. By the end, you’ll be able to search, explore, and extract meaningful data to solve problems.

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11,916 learners enrolled in this path.
  • Beginner friendly
  • 1 month (5 hrs/week)
  • Self paced
  • 5 Courses
  • 1 project
Miguel

“Dataquest actually makes you think and apply your skills. You don’t really need to spend $10,000 dollars on a bootcamp.”

Miguel Couto

Big Data Analyst @Zattoo

SQL Fundamentals

Enroll For Free

Path overview

In this path, you’ll become familiar with SQL syntax and master the frequently used commands. You’ll also learn how to use string patterns and ranges to query data, how to sort and group data, and how to write perfect queries to extract and analyze data from real SQL databases.

Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Exploring, querying, and extracting specific sets of data
  • Handling data from multiple sources
  • Retrieving data to build reports and perform analysis
  • Organizing data efficiently to answer business questions

Path outline

Part 1: Fundamentals of SQL [5 courses]

Introduction to SQL and Databases 5h

Objectives
  • Define the structure of SQL
  • Create basic queries to extract data from tables in a database
  • Define databases
  • Identify different versions of SQL
  • Write good SQL code

Summarizing Data in SQL 3h

Objectives
  • Employ SQL to compute statistics
  • Provide statistics by group
  • Filter results over groups

Combining Tables in SQL Course 3h

Objectives
  • Combine tables using inner joins
  • Employ different types of joins
  • Employ other SQL clauses with joins
  • Join on complex conditions
  • Employ set operators like UNION and EXCEPT

SQL Subqueries 6h

Objectives
  • Nest a query inside another query
  • Employ different types of subqueries
  • Employ common table expressions
  • Scale your project with complex queries

Window Functions in SQL 5h

Objectives
  • Set up a frame for window functions
  • Compute running aggregations with aggregate window functions
  • Explore rank window functions
  • Apply distribution window functions
  • Use offset window functions

The Dataquest guarantee

Guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

Money

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Projects in this path

Guided Project: Customers and Products Analysis Using SQL

Work on a real-life project using SQL

View Project

Grow your career with
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Aaron

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessi

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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