Otavio

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Course overview

This interactive SQL course for beginners will teach you how to code and perform fundamental data science tasks using SQL — and it will help you begin your journey to become a successful data professional. 

In this course, you’ll learn how to write data queries and how to use statements and clauses — as well as the critical role of SQL in routine data science tasks. 

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 real-world scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Define the structure of SQL
  • Create basic queries to extract data from tables in a database
  • Define databases
  • Identify different versions of SQL
  • Formulate efficient and readable SQL code using styling conventions

Course outline

Introduction to SQL and Databases [7 lessons]

Exploring the Database and Schema 1h

Lesson Objectives
  • Define and use SQL components
  • Introduce ANSI SQL
  • Employ comments
  • Rename fields in a query with aliasing

Exploring Tables and Columns 2h

Lesson Objectives
  • Define data types and metadata
  • Perform text and numeric functions on fields
  • Use functions such as ROUND(), UPPER(), and LOWER()

Filtering with Numbers 1h

Lesson Objectives
  • Use comparison operators (<, >, =, <>)
  • Find NULL values
  • Filter with BETWEEN, IN, AND, and OR

Filtering with Strings and Categories 1h

Lesson Objectives
  • Find unique categories with SELECT DISTINCT
  • Filter by strings with IN/ BETWEEN
  • Filter by wildcards with LIKE

Sorting Results 1h

Lesson Objectives
  • Sort in ascending and descending order
  • Sort by multiple criteria
  • Use ORDER BY along with LIMIT
  • Format SQL code for readability

Conditional Statements and Style 1h

Lesson Objectives
  • Bin numbers or categories with CASE
  • Order by expressions
  • Explore performant SQL

Guided Project: Analyzing Kickstarter Projects 1h

Lesson Objectives
  • Explain the context of the problem
  • Query the dataset
  • Filter the dataset
  • Sort the dataset

Projects in this course

Analyzing Kickstarter Projects

For this project, you’ll assume the role of a data analyst at a startup considering launching a Kickstarter campaign. You’ll analyze data to help the team understand what might influence a campaign’s success.

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

Share the evidence of your hard work with your network and potential employers.

Grow your career with
Dataquest.

98%
of learners recommend
Dataquest for career advancement
4.85
Dataquest rating
SwitchUp Best Bootcamps
$30k
Average salary boost
for learners who complete a path
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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2

Choose a learning path

3

Complete exercises and projects

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