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.
Offered By
Learn SQL Basics for Data Science SpecializationUniversity of California, DavisAbout this Course
977,631 recent views
Learner Career Outcomes
32%
started a new career after completing these courses
30%
got a tangible career benefit from this course
12%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish
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 ScienceData AnalysisSqliteSQL
Learner Career Outcomes
32%
started a new career after completing these courses
30%
got a tangible career benefit from this course
12%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
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
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!30m
Practice Simple Select Queries30m
Module 1 Quiz30m
Module 1 Coding Questions10m
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
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 Quiz30m
Module 2 Quiz30m
Module 2 Coding Assignment45m
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
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 Queries30m
Module 3 Quiz30m
Module 3 Coding Assignment45m
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
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
Reviews
TOP REVIEWS FROM SQL FOR DATA SCIENCE
by NGAug 27, 2020
The course is nice but I suppose the PowerPoint presentation that accompanies it could use some effects to show us the clauses one by one, as they are spoke. That would make understanding them easier.
by JPApr 5, 2020
This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.
by ALAug 21, 2020
A comprehensive course that covers major aspects of query building and retrieval in a management system. The topics were delivered well and the materials/assignments were relevant for skill-building.
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,...
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.
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