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With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Graduate from spreadsheets to databases with this special course on SQL for business! By the end of this course, you’ll be able to use SQL to query multiple tables, join data together from multiple sources, and even extract key business insights from retail databases.
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When it comes to data analysis, Excel will only take you so far. To analyze larger sources of table-based data, you need the power & speed of SQL in your arsenal. In this course, you’ll learn how to manipulate and analyze multiple tables to answer complex business questions, as well as have the option to learn advanced SQL skills like writing subqueries and advanced joins. This course also includes a hands-on project where you’ll analyze a music store database and find ways for the store to optimize their operations.
Familiarity with data types and data visualization.
Become fluent in basic SQL commands including SELECT, FROM, WHERE and corresponding logical operators.
Combine data tables using SQL joins to to answer more complex business questions.
Aggregate data in SQL including COUNT, SUM, MIN and MAX, and write CASE and DATE functions, as well as work with NULL values.
Use subqueries, also called CTEs, in a number of different situations, use window functions including RANK, NTILE, LAG, LEAD new functions along with partitions to complete complex tasks, and clean data, optimize queries and write advanced JOINs.
In this project, you will be provided a dataset reflecting data collected from an experiment. You’ll use statistical techniques to answer questions about the data and report your conclusions and recommendations in a report.
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
On demand help. Receive instant help with your learning directly in the classroom. Stay on track and get unstuck.
Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
We provide services customized for your needs at every step of your learning journey to ensure your success.
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Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.
How to analyze relational databases and answer key business questions with SQL.
On average, successful students take 1 month to complete this program.
No. This Course accepts all applicants regardless of experience and specific background.
Students should have a basic understanding of data types and the ability to create basic visuals from data in a spreadsheet.
The SQL for Data Analysis course is comprised of content and curriculum to support one project. We estimate that students can complete the program in 1 month.
The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
For this program, you will need a desktop or laptop computer running recent versions of Windows, Mac OS X, or Linux, and an unmetered broadband Internet connection. There are no additional hardware or software requirements for this program, other than those outlined on Udacity's general Technology Requirements page.