About this Course

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Learner Career Outcomes

39%

started a new career after completing these courses

34%

got a tangible career benefit from this course

10%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English
Subtitles: English

What you will learn

  • Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.

  • U​se 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 will gain

Data ScienceData AnalysisSqliteSQL

Learner Career Outcomes

39%

started a new career after completing these courses

34%

got a tangible career benefit from this course

10%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English
Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(19,599 ratings)Info
Week
1

Week 1

3 hours to complete

Getting Started and Selecting & Retrieving Data with SQL

3 hours to complete
11 videos (Total 52 min), 2 readings, 4 quizzes
11 videos
Module Introduction1m
What is SQL Anyway?7m
Data Models, Part 1: Thinking About Your Data5m
Data Models, Part 2: The Evolution of Data Models3m
Data Models, Part 3: Relational vs. Transactional Models5m
Retrieving Data with a SELECT Statement4m
Creating Tables7m
Creating Temporary Tables4m
Adding Comments to SQL5m
Summary1m
2 readings
SQL Overview15m
Data Modeling and ER Diagrams35m
4 practice exercises
Let's Practice!10m
Practice Simple Select Queries20m
Module 1 Quiz30m
Module 1 Coding Questions10m
Week
2

Week 2

3 hours to complete

Filtering, Sorting, and Calculating Data with SQL

3 hours to complete
9 videos (Total 49 min), 1 reading, 3 quizzes
9 videos
Basics of Filtering with SQL8m
Advanced Filtering: IN, OR, and NOT7m
Using Wildcards in SQL6m
Sorting with ORDER BY4m
Math Operations4m
Aggregate Functions6m
Grouping Data with SQL5m
Putting it All Together3m
1 reading
SQL for Various Data Science Languages25m
3 practice exercises
Module 2 Practice Quiz22m
Module 2 Quiz30m
Module 2 Coding Assignment45m
Week
3

Week 3

3 hours to complete

Subqueries and Joins in SQL

3 hours to complete
10 videos (Total 56 min), 2 readings, 3 quizzes
10 videos
Using Subqueries6m
Subquery Best Practices and Considerations5m
Joining Tables: An Introduction5m
Cartesian (Cross) Joins4m
Inner Joins8m
Aliases and Self Joins6m
Advanced Joins: Left, Right, and Full Outer Joins7m
Unions5m
Summary5m
2 readings
SQL and Python10m
Union and Union All10m
3 practice exercises
Practice Quiz - Writing Queries10m
Module 3 Quiz30m
Module 3 Coding Assignment45m
Week
4

Week 4

5 hours to complete

Modifying and Analyzing Data with SQL

5 hours to complete
10 videos (Total 53 min), 3 readings, 3 quizzes
10 videos
Working with Text Strings7m
Working with Date and Time Strings5m
Date and Time Strings Examples5m
Case Statements7m
Views6m
Data Governance and Profiling5m
Using SQL for Data Science, Part 15m
Using SQL for Data Science, Part 26m
Course Summary2m
3 readings
Additional SQL Resources to Explore15m
Welcome to Peer Review Assignments!10m
Yelp Dataset SQL Lookup5m
2 practice exercises
Module 4 Quiz30m
Module 4 Coding Questions35m

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About the Learn SQL Basics for Data Science Specialization

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....
Learn SQL Basics for Data Science

Frequently Asked Questions

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • 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.

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