Learn how to use SQL for data analysis. This learning track is carefully crafted to include topics relevant to data analysisStart learning
42 free interactive coding challenges
This SQL learning track is designed to help beginners become proficient data analysts using SQL. Even if you've never used SQL before, this learning path is for you. It covers the most important concepts useful in data analysis: from foundational concepts of SQL, through manipulating data to writing complex SQL reports using advanced SQL constructions.
SQL, or Structured Query Language, is a programming language designed for managing and manipulating data in databases. In data analysis, SQL allows analysts to retrieve, filter, and analyze vast amounts of data stored in databases. By writing specific commands called queries, analysts can extract meaningful insights, generate reports, and make data-driven decisions.
If you’re new to SQL, check out our SQL Primer which provides a comprehensive introduction to the foundational concepts of SQL. We also recommend our article Best Way to Learn SQL which offers guidance on the most effective strategies and resources to accelerate your learning journey.
Data analysis is the process of reviewing, cleaning, transforming, and manipulating data in order to discover meaningful insights, draw conclusions, and support decision-making. Using data analytical tools and techniques, you can find patterns, trends, and relationships in your data. Once this useful information is extracted, businesses and organizations can then make better decisions, streamline procedures, and address issues.
SQL is important for data analysis because it provides a standardized language for searching, manipulating, and combining data from databases and other data sources. It helps analysts to obtain, convert, and aggregate data in an efficient manner, allowing them to extract insights and make informed decisions based on the data.
Let's look at some of the reasons why SQL is useful for data analysis:
If you want to become a data analyst, you don’t need to know everything in SQL. There are some SQL features that you’ll need to know very well and you’ll use often. We have carefully crafted this SQL learning track to include topics relevant for data analysis and exclude topics that you’ll likely not need.
The track contains four courses:
All courses in the track are interactive: in each exercise you get a little bit of reading and a task to solve to make sure you understand the topic. You learn SQL by writing SQL code and with each exercise solved you gain confidence in your SQL skills.
Here’s what users say about our courses:
We have many resources that will help you in your data analysis journey. Start by downloading our SQL for Data Analysis Cheat Sheet, designed to include SQL commands most frequently used in data analysis.
Practice makes perfect and learning SQL is no exception. If you’re looking for opportunities to practice your SQL data analysis skills after completing this track, find out our practice courses for data analysis:
Embark on this journey with the "SQL for Data Analysis" track and become the data maestro you've always aspired to be. Dive deep, explore, and let data tell its story.
Start here if you’re new to SQL. Learn the basics of SQL, retrieve data from an SQL database and build simple reports.
Go beyond simple SELECT statements! Learn all about the SQL UPDATE, INSERT, and DELETE commands, and find out how to combine them with NULLs and JOINs.
Teach yourself how to build basic SQL reports to track and analyze the performance of your metrics.
Learn how to use analytic SQL functions to deeply understand data.