“Dataquest is my favorite learning platform because you are not just given answers immediately when you’re working on the code — instead, you’re cracking the brain to understand and remember.”

Rahila Hashim

Data Scientist @ClinFocus

Course overview

This course builds on the SQL Fundamentals course. You’ll become familiar with concepts like the different types of joins and how to combine joins with subqueries to answer business questions. You’ll learn how to write queries using three or more tables, how to perform recursive joins and pattern matching, and how to control how the data will look like with CASE statements.

As you progress, you’ll build and organize complex queries that you can make more readable using the WITH clause; you’ll also use set operations like UNION, UNION ALL, EXCEPT, and INTERSECT to combine tables. You’ll also learn to use relational database concepts like normalizing a table, designing and creating a database, and more.

Best of all, you’ll learn by doing — you’ll practice 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

  • Building and organizing complex queries
  • Querying data across multiple tables
  • Identifying table relations
  • Answering business questions using SQL

Course outline

Intermediate SQL for Data Analysis [6 lessons]

Joining Data in SQL 2h

Lesson Objectives
  • Employ the four common join types
  • Employ joins with subqueries to write intermediate queries
  • Employ joins to answer business questions

Intermediate Joins in SQL 2h

Lesson Objectives
  • Write queries that join three or more tables
  • Identify recursive joins, pattern matching, and the case statement
  • Write advanced joins

Building and Organizing Complex Queries 3h

Lesson Objectives
  • Format queries to make them readable
  • Employ the "with" clause
  • Employ set operations to combine tables

Guided Project: Answering Business Questions Using SQL 3h

Lesson Objectives
  • Frame a business question into advanced SQL queries
  • Employ pandas plot methods to create visualizations of your query results
  • Write analyses to communicate the results of your work

Table Relations and Normalization 2h

Lesson Objectives
  • Employ the SQLite shell with databases
  • Create and normalize database tables
  • Insert and update data in database tables

Querying SQLite from Python 1h

Lesson Objectives
  • Run SQL queries using sqlite3 in Python
  • Employ cursors and tuples

Projects in this course

The Dataquest 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.


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.

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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.”


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 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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