About this Course
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Beginner Level

Approx. 20 hours to complete

Suggested: 4 weeks of study, 3-5 hours/week...

English

Subtitles: English

Skills you will gain

Data ScienceData AnalysisSqliteSQL

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 20 hours to complete

Suggested: 4 weeks of study, 3-5 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 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.

...
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
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.

...
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
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.

...
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
5 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.

...
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
4.5
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Top reviews from SQL for Data Science

By AMJun 8th 2019

Great introductory to the SQL programming. This will definitely not only add another programming skill but also give me more capabilities programming in SAS. I would recommend this to anyone.

By MSMar 11th 2019

Great course i had a very good learning experience from this course and what i was expecting from this course i got that knowledge and i am very happy to take this course. thank you so much.

Instructor

Avatar

Sadie St. Lawrence

Data Scientist at VSP Global
Founder and CEO Women in Data (WID)

About University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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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