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.
SQL for Data Science
SQL for Data Science
This course is part of Learn SQL Basics for Data Science Specialization
Instructor: Sadie St. Lawrence
661,962 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(16,822 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
91%
Most learners liked this course
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
Details to know
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Assessments
14 assignments
Taught in English
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This course is part of the Learn SQL Basics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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.
What's included
11 videos4 readings4 assignments2 discussion prompts
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.
What's included
9 videos1 reading3 assignments
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.
What's included
10 videos2 readings3 assignments1 discussion prompt
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.
What's included
11 videos3 readings4 assignments1 discussion prompt
Instructor
Instructor ratings
4.7 (4,736 ratings)Offered by
Explore more from Data Analysis
University of California, Davis
University of California, Davis
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4.6
16,822 reviews
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Showing 3 of 16822
KF
5
Reviewed on Apr 1, 2023
I loved the practices. I learned alot
SM
4
Reviewed on Mar 15, 2020
Good course for beginners.- classes are fine- quizzes evaluate quite well your understanding I think- the final assessment contains plenty of VERY ambiguous questions and I think it should be reworked
YL
5
Reviewed on Apr 18, 2021
Exactly what I signed up for. Basic understanding and syntax learning. For anyone looking to further their sql writing, I believe this course and the rest of the curriculum will do perfectly fine
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Frequently asked questions
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:
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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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