This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through three progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, SQL analysis, problem- solving strategies, debugging, improving data quality, 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.
Learn SQL Basics for Data Science Specialization
Get in-depth knowledge of a subject
(10,326 reviews)
Beginner level
No prior experience required
Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(10,326 reviews)
Beginner level
No prior experience required
Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Overview
Use SQL commands to filter, sort, & summarize data; manipulate strings, dates, & numerical data from different sources for analysis
Assess and create datasets to solve your business questions and problems using SQL
Develop a project proposal & select your data, perform statistical analysis & develop metrics, and present your findings & make recommendations
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
August 2025
23 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of California, Davis
Specialization - 3 course series
What you'll learn
Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.
Use SQL commands to filter, sort, and summarize data.
Create an analysis table from multiple queries using the UNION operator.
Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.
Skills you'll gain
Category: SQL
Category: Data Governance
Category: Relational Databases
Category: Query Languages
Category: Data Science
Category: Data Cleansing
Category: Data Manipulation
Category: Data Analysis
Category: Data Access
Category: Database Design
What you'll learn
Validate and clean a dataset
Assess and create datasets to answer your questions
Solve problems using SQL
Build a simple testing framework to touch on AB Testing
Skills you'll gain
Category: SQL
Category: Data Analysis
Category: Exploratory Data Analysis
Category: JSON
Category: Business Metrics
Category: Data Storytelling
Category: Analytics
Category: Business Analytics
Category: Data Presentation
Category: Data Manipulation
Category: Dashboard
Category: Forecasting
Category: Business Intelligence
Category: Business Reporting
Category: Dataflow
Category: Data Quality
Category: Data Visualization
Category: Complex Problem Solving
Category: Predictive Analytics
What you'll learn
Develop a project proposal and select your data
Perform descriptive statistics as part of your exploratory analysis
Develop metrics and perform advanced techniques in SQL
Present your findings and make recommendations
Skills you'll gain
Category: Exploratory Data Analysis
Category: Data Wrangling
Category: Data Analysis
Category: Proposal Writing
Category: Statistical Methods
Category: Descriptive Statistics
Category: SQL
Category: Data Import/Export
Category: Business Metrics
Category: Presentations
Category: Target Audience
Category: Data Manipulation
Category: Data Storytelling
Category: Data Modeling
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This Specialization consists of 4 courses that could take anyone from 4-6 months to complete.
This Specialization is intended for the learner with no prior knowledge and will progress through the courses advancing their SQL skills.
We 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
Financial aid available,