We may earn an affiliate commission when you visit our partners.
Course image
Derek Steer

Take Udacity's free SQL for Data Analysis course and learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. Learn online with Udacity.

What's inside

Syllabus

In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
Read more
In this lesson, you will learn how to combine data from multiple tables together.
In this lesson, you will learn how to aggregate data using SQL functions like SUM, AVG, and COUNT. Additionally, CASE, HAVING, and DATE functions provide you an incredible problem solving toolkit.
In this lesson, you will be learning to answer much more complex business questions using nested querying methods - also known as subqueries.
Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.
Compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis: window functions.
Learn advanced joins and how to make queries that run quickly across giant datasets. Most of the examples in the lesson involve edge cases, some of which come up in interviews.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops data analysis skills using SQL, which is standard in industry
Taught by Derek Steer, who is recognized for their work in data analysis
Offered through Udacity, which is recognized for its work in online education
Covers SQL basics for working with a single table
Teaches how to combine data from multiple tables
Provides an incredible problem solving toolkit with CASE, HAVING, and DATE functions
Involves edge cases, some of which come up in interviews
Covers data cleaning using SQL
Examines window functions, a powerful concept in SQL data analysis
Explores advanced joins and optimizations for large datasets
Requires explicit prerequisites

Save this course

Save SQL for Data Analysis to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in SQL for Data Analysis with these activities:
Review SQL Basics
Refresh your understanding of fundamental SQL concepts before the course begins.
Browse courses on SQL
Show steps
  • Go through online tutorials or documentation to revisit basic SQL commands, such as SELECT, WHERE, and JOIN.
  • Practice writing simple SQL queries to extract and filter data from a sample database.
SQL Resources Compilation
Gather and organize useful SQL resources, including tutorials, documentation, and code examples, for easy reference during and after the course.
Show steps
  • Search for and identify high-quality SQL tutorials, documentation, and code examples from reputable sources.
  • Organize the resources into a central location, such as a shared drive or online notebook.
  • Categorize the resources based on topic or difficulty level for easy retrieval.
Connect with SQL Experts
Seek out experienced SQL professionals or mentors who can provide guidance, answer questions, and offer support throughout your learning journey.
Show steps
  • Join online communities and forums related to SQL.
  • Attend SQL-focused meetups or webinars to connect with experts.
  • Reach out to professionals on LinkedIn or other social media platforms, expressing your interest in connecting and learning from their experience.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a SQL Database
Build a practical understanding of SQL by creating your own database and populating it with data.
Browse courses on SQL
Show steps
  • Choose a topic for your database and the type of data you want to store.
  • Design the structure of your database and establish primary and foreign keys to define relationships between tables.
  • Populate your database with data using SQL commands, such as INSERT, UPDATE, and DELETE.
SQL Practice Exercises on HackerRank
Test your SQL skills and reinforce your understanding by completing practice exercises on HackerRank.
Browse courses on SQL
Show steps
  • Sign up for a HackerRank account and select the SQL track.
  • Attempt the practice exercises, starting with the beginner level and gradually progressing to more challenging ones.
  • Review your solutions and identify areas for improvement, using the provided feedback.
Collaborative SQL Study Group
Join or form a study group with fellow students to discuss SQL concepts, solve problems together, and reinforce your learning through peer interaction.
Show steps
  • Find other students taking the course and organize regular study sessions.
  • Take turns presenting SQL topics, leading discussions, and facilitating exercises.
SQL Data Analysis Project
Apply your SQL skills to real-world data by working on a project that involves data extraction, analysis, and visualization using SQL queries and tools.
Browse courses on SQL
Show steps
  • Identify a dataset that aligns with your interests and objectives.
  • Design and write SQL queries to extract, clean, and analyze the relevant data.
  • Generate data visualizations, such as charts and graphs, to present your findings and insights.

Career center

Learners who complete SQL for Data Analysis will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts use data analysis tools, such as SQL, to identify trends, patterns, and opportunities in data. They use this information to help businesses make better decisions. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as a Business Intelligence Analyst, including data mining, data visualization, and reporting.
Data Analyst
Data Analysts use their skills with data analysis tools, such as SQL, to research, analyze, and interpret complex data sets. The insights that Data Analysts generate are critical to businesses, helping them make more profitable and cost-effective decisions. By taking this SQL for Data Analysis course, learners will develop a number of in-demand skills that employers seek, including proficiency in data retrieval and manipulation with SQL.
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases. They ensure that databases are secure, efficient, and meet the needs of the business. This SQL for Data Analysis course will provide learners with the foundational knowledge and skills needed to succeed as a Database Administrator, including data modeling, database design, and performance tuning.
Data Scientist
Data Scientists use their skills in data analysis, machine learning, and statistics to solve complex business problems. They use data to build predictive models, identify trends, and develop new products and services. This SQL for Data Analysis course will provide learners with a foundation in data analysis and data manipulation, which are essential skills for Data Scientists.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and tools, including SQL, to build software that meets the needs of users. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as a Software Engineer, including data modeling, database design, and performance tuning.
Web Developer
Web Developers design and develop websites and web applications. They use a variety of programming languages and tools, including SQL, to create websites that are both functional and visually appealing. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as a Web Developer, including data modeling, database design, and performance tuning.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use a variety of tools and techniques, including SQL, to identify and mitigate security risks. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as an Information Security Analyst, including data mining, data analysis, and reporting.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. They use a variety of tools and techniques, including SQL, to develop and implement solutions to problems such as supply chain management, inventory control, and scheduling. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as an Operations Research Analyst, including data mining, data analysis, and reporting.
Statistician
Statisticians collect, analyze, and interpret data to help businesses make better decisions. They use a variety of tools and techniques, including SQL, to develop and implement statistical models. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as a Statistician, including data mining, data analysis, and reporting.
Market Research Analyst
Market Research Analysts research and analyze market trends and consumer behavior to help businesses make better decisions. They use a variety of tools and techniques, including SQL, to collect and analyze data. This SQL for Data Analysis course will provide learners with the skills and knowledge needed to succeed as a Market Research Analyst, including data mining, data analysis, and reporting.
Financial Analyst
Financial Analysts use financial data to make recommendations about investments and financial decisions. They use a variety of tools and techniques, including SQL, to analyze financial data and develop financial models. This SQL for Data Analysis course may be helpful for learners who wish to succeed as a Financial Analyst, as it will provide them with a foundation in data analysis and data manipulation.
Accountant
Accountants prepare and examine financial records to ensure that they are accurate and compliant with regulations. They use a variety of tools and techniques, including SQL, to analyze financial data and prepare financial statements. This SQL for Data Analysis course may be helpful for learners who wish to succeed as an Accountant, as it will provide them with a foundation in data analysis and data manipulation.
Auditor
Auditors examine and evaluate financial and operational records to ensure that they are accurate and compliant with regulations. They use a variety of tools and techniques, including SQL, to analyze data and prepare audit reports. This SQL for Data Analysis course may be helpful for learners who wish to succeed as an Auditor, as it will provide them with a foundation in data analysis and data manipulation.
Tax Preparer
Tax Preparers prepare and file tax returns for individuals and businesses. They use a variety of tools and techniques, including SQL, to analyze financial data and prepare tax returns. This SQL for Data Analysis course may be helpful for learners who wish to succeed as a Tax Preparer, as it will provide them with a foundation in data analysis and data manipulation.
Customer Service Representative
Customer Service Representatives provide support to customers by answering questions, resolving complaints, and providing information. They use a variety of tools and techniques, including SQL, to access and analyze customer data. This SQL for Data Analysis course may be helpful for learners who wish to succeed as a Customer Service Representative, as it will provide them with a foundation in data analysis and data manipulation.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SQL for Data Analysis.
Provides a comprehensive overview of working with SQL data in Python using the Pandas library. valuable reference for those seeking to enhance their data analysis skills and gain a deeper understanding of SQL.
This beginner-friendly guide offers a practical approach to learning SQL and is suitable for those with no prior knowledge of the language. It provides step-by-step instructions, making it an ideal companion to the Udacity course.
Delves into the art of optimizing SQL queries for improved performance. It valuable resource for those seeking to enhance the efficiency of their SQL code and reduce query execution times.
Explores the topic of SQL injection attacks and provides practical guidance on how to prevent and mitigate these security vulnerabilities. It valuable resource for those concerned about the security of their SQL-based applications.
Another concise and practical reference guide that focuses on providing quick and easy access to core SQL syntax and concepts. It good choice for those who need a quick refresher or a handy reference at their fingertips.

Share

Help others find this course page by sharing it with your friends and followers:
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser