“I can’t believe how easily and clearly complex material is presented on Dataquest. Even beginners can learn on Dataquest.”

Viktoria Jorayeva

Consultant, Business Analyst @Fractal

Course overview

In this course, you’ll learn concepts such as the different types of joins and how to combine joins with subqueries to answer business questions. You’ll also 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 with CASE statements.

As you progress, you’ll learn how to build and organize complex queries to make them more readable using the WITH clause, and how to use set operations such as UNION, UNION ALL, EXCEPT, and INTERSECT to combine tables. You’ll also learn relational database concepts such as 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. At the end of the course, you will complete two guided projects:

  • The SQL data analysis workflow
  • Designing and creating a database

Key skills

  • Querying data across multiple tables
  • Answering business questions using SQL
  • Understanding table relations and how to create and modify databases

Course outline

Intermediate SQL in R [7 lessons]

Joining Data in SQL 1h

Lesson Objectives
  • Employ the four common joins
  • Write intermediate queries using joins with subqueries
  • Answer business questions using joins

Intermediate Joins in SQL 1h

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

Building and Organizing Complex Queries 1h

Lesson Objectives
  • Format queries to make them readable
  • Employ the "with" clause and views to organize your queries
  • Combine tables using set operations

Querying SQLite from R 1h

Lesson Objectives
  • Run SQL queries using RSQLite in R

Guided Project: Answering Business Questions using SQL 1h

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

Table Relations and Normalization 1h

Lesson Objectives
  • Employ the SQLite shell with databases.
  • Create database tables
  • Update data in database tables

Guided Project: Designing and Creating a Database 1h

Lesson Objectives
  • Design a normalized database schema
  • Create normalized database tables
  • Transform data into normalized tables

Projects in this course

Guided Project: Designing and Creating a Database

Learn how to design, create, and populate a normalized SQL database.

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.

Grow your career with

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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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