This course is part of the Learn SQL Basics for Data Science Specialization

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Sadie St. Lawrence

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Learn SQL Basics for Data Science SpecializationUniversity of California, Davis

About this Course

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As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.
This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. 

You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. 

Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!

Flexible deadlines

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Earn a Certificate upon completion

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Course 1 of 4 in the

Learn SQL Basics for Data Science Specialization

Beginner Level

Approx. 14 hours to complete

English

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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.
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 will gain

Data Science
Data Analysis
Sqlite
SQL

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

Learn SQL Basics for Data Science Specialization

Beginner Level

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.66/5 (4,073 Ratings)

Sadie St. Lawrence

Founder and CEO Women in Data (WID)

Continuing and Professional Education

509,112 Learners

3 Courses

Offered by

University of California, Davis

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Syllabus - What you will learn from this course

Content Rating91%(48,731 ratings)

Week1

Week 1

4 hours to complete

Getting Started and Selecting & Retrieving Data with SQL

In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. You will be able to compare and contrast the roles of a database administrator and a data scientist, and explain the differences between one-to-one, one-to-many, and many-to-many relationships with databases. You will be able to use the SELECT statement and talk about some basic syntax rules. You will be able to add comments in your code and synthesize its importance.

4 hours to complete

11 videos (Total 52 min), 2 readings, 4 quizzes

11 videos

Course Introduction4mModule Introduction1mWhat is SQL Anyway?7mData Models, Part 1: Thinking About Your Data5mData Models, Part 2: The Evolution of Data Models3mData Models, Part 3: Relational vs. Transactional Models5mRetrieving Data with a SELECT Statement4mCreating Tables7mCreating Temporary Tables4mAdding Comments to SQL5mSummary1m

2 readings

SQL Overview15mData Modeling and ER Diagrams35m

4 practice exercises

Let's Practice!30mPractice Simple Select Queries30mModule 1 Quiz30mModule 1 Coding Questions10m

Week2

Week 2

3 hours to complete

Filtering, Sorting, and Calculating Data with SQL

In this module, you will be able to use several more new clauses and operators including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY. You will be able to use the wildcard function to search for more specific or parts of records, including their advantages and disadvantages, and how best to use them. You will be able to discuss how to use basic math operators, as well as aggregate functions like AVERAGE, COUNT, MAX, MIN, and others to begin analyzing our data.

3 hours to complete

9 videos (Total 49 min), 1 reading, 3 quizzes

Week3

Week 3

3 hours to complete

Subqueries and Joins in SQL

In this module, you will be able to discuss subqueries, including their advantages and disadvantages, and when to use them. You will be able to recall the concept of a key field and discuss how these help us link data together with JOINs. You will be able to identify and define several types of JOINs, including the Cartesian join, an inner join, left and right joins, full outer joins, and a self join. You will be able to use aliases and pre-qualifiers to make your SQL code cleaner and efficient.

3 hours to complete

10 videos (Total 56 min), 2 readings, 3 quizzes

10 videos

Module Introduction1mUsing Subqueries6mSubquery Best Practices and Considerations5mJoining Tables: An Introduction5mCartesian (Cross) Joins4mInner Joins8mAliases and Self Joins6mAdvanced Joins: Left, Right, and Full Outer Joins7mUnions5mSummary5m

2 readings

SQL and Python10mUnion and Union All10m

3 practice exercises

Practice Quiz - Writing Queries30mModule 3 Quiz30mModule 3 Coding Assignment45m

Week4

Week 4

4 hours to complete

Modifying and Analyzing Data with SQL

In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically. You will be able to use case statements and finish this module by discussing data governance and profiling. You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context.

4 hours to complete

10 videos (Total 53 min), 3 readings, 3 quizzes

10 videos

Module Introduction1mWorking with Text Strings7mWorking with Date and Time Strings5mDate and Time Strings Examples5mCase Statements7mViews6mData Governance and Profiling5mUsing SQL for Data Science, Part 15mUsing SQL for Data Science, Part 26mCourse Summary2m

3 readings

Additional SQL Resources to Explore15mWelcome to Peer Review Assignments!10mYelp Dataset SQL Lookup5m

2 practice exercises

Module 4 Quiz30mModule 4 Coding Questions35m

Reviews

4.6

3849 reviews

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3 stars
3.41%
2 stars
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1 star
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TOP REVIEWS FROM SQL FOR DATA SCIENCE

by MVJul 19, 2020

Please Included examples while the instructor is teaching in the video lectures. The instructor is very talented in teaching but due to lack of examples in the video it downgrades the overall course.

by JMFeb 14, 2023

Clear, well-paced explanations in each video. The final coding assignment was much harder than the quizzes along the way, but everything you need to know to complete it is technically in the videos.

by ATNov 17, 2020

Well it was a short course, the assignments are a little bit repetitive (mostly in the last). The course reviews every 'practical' aspects of SQL, how to assemble the bricks while writing queries,...

by LESep 11, 2018

Did not need to be a peer review assessment, most of the tests lacked creativity and could be automated. The peer review component should just apply to the creative components that can be expanded.

View all reviews

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, Delta Lake 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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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