About this Specialization

85,310 recent views
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
Learner Career Outcomes
39%
Started a new career after completing this specialization.
10%
Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 4 months to complete

Suggested 5 hours/week

English

Subtitles: English
Learner Career Outcomes
39%
Started a new career after completing this specialization.
10%
Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 4 months to complete

Suggested 5 hours/week

English

Subtitles: English

There are 4 Courses in this Specialization

Course1

Course 1

SQL for Data Science

4.6
stars
4,730 ratings
1,245 reviews
Course2

Course 2

Data Wrangling, Analysis and AB Testing with SQL

3.6
stars
120 ratings
46 reviews
Course3

Course 3

Distributed Computing with Spark SQL

4.3
stars
88 ratings
27 reviews
Course4

Course 4

SQL for Data Science Capstone Project

3.8
stars
11 ratings
4 reviews

Offered by

University of California, Davis logo

University of California, Davis

Frequently Asked Questions

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

  • T​his Specialization consists of 4 courses that could take anyone from 4-6 months to complete.

  • T​his Specialization is intended for the learner with no prior knowledge and will progress through the courses advancing their SQL skills.

  • W​e absolutely recommend you take the first course listed first and the Capstone project last, but courses two and three can be completed in either order.

More questions? Visit the Learner Help Center.