SQL for Data Science
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SQL for Data Science
This course is part of Learn SQL Basics for Data Science Specialization
Instructor: Sadie St. Lawrence
718,714 already enrolled
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17,184 reviews
17,184 reviews
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
Tools you'll learn
Details to know
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There are 4 modules in this course
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!
In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. Additionally, 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 also be able to use the SELECT statement and talk about some basic syntax rules, add comments in your code, and synthesize their importance.
What's included
10 videos3 readings5 assignments1 discussion prompt
10 videos•Total 51 minutes
- Course Introduction•4 minutes
- What is SQL Anyway?•7 minutes
- Data Models, Part 1: Thinking About Your Data•6 minutes
- Data Models, Part 2: The Evolution of Data Models•4 minutes
- Data Models, Part 3: Relational vs. Transactional Models•6 minutes
- Retrieving Data with a SELECT Statement•5 minutes
- Creating Tables•8 minutes
- Creating Temporary Tables•4 minutes
- Adding Comments to SQL•5 minutes
- Summary•2 minutes
3 readings•Total 65 minutes
- Course Navigation and Online Safety Statement•15 minutes
- SQL Overview•15 minutes
- Data Modeling and ER Diagrams•35 minutes
5 assignments•Total 120 minutes
- Introduction to SQL for Data Science•20 minutes
- Let's Practice!•30 minutes
- Practice Simple Select Queries•30 minutes
- Module 1 Quiz•30 minutes
- Module 1 Coding Questions•10 minutes
1 discussion prompt•Total 30 minutes
- Comparing NoSQL and SQL•30 minutes
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
9 videos•Total 49 minutes
- Module Introduction•2 minutes
- Basics of Filtering with SQL•9 minutes
- Advanced Filtering: IN, OR, and NOT•7 minutes
- Using Wildcards in SQL•7 minutes
- Sorting with ORDER BY•5 minutes
- Math Operations•4 minutes
- Aggregate Functions•7 minutes
- Grouping Data with SQL•6 minutes
- Putting it All Together•3 minutes
1 reading•Total 25 minutes
- SQL for Various Data Science Languages•25 minutes
3 assignments•Total 105 minutes
- Module 2 Practice Quiz•30 minutes
- Module 2 Quiz•30 minutes
- Module 2 Coding Assignment•45 minutes
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
10 videos•Total 58 minutes
- Module Introduction•1 minute
- Using Subqueries•7 minutes
- Subquery Best Practices and Considerations•8 minutes
- Joining Tables: An Introduction•5 minutes
- Cartesian (Cross) Joins•4 minutes
- Inner Joins•8 minutes
- Aliases and Self Joins•6 minutes
- Advanced Joins: Left, Right, and Full Outer Joins•8 minutes
- Unions•5 minutes
- Summary•6 minutes
2 readings•Total 20 minutes
- SQL and Python•10 minutes
- Union and Union All•10 minutes
3 assignments•Total 105 minutes
- Practice Quiz - Writing Queries•30 minutes
- Module 3 Quiz•30 minutes
- Module 3 Coding Assignment•45 minutes
1 discussion prompt•Total 20 minutes
- What do you think you'll use?•20 minutes
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
11 videos•Total 56 minutes
- Module Introduction•1 minute
- Working with Text Strings•7 minutes
- Working with Date and Time Strings•5 minutes
- Date and Time Strings Examples•5 minutes
- Case Statements•7 minutes
- Views•7 minutes
- Data Governance and Profiling•6 minutes
- Using SQL for Data Science, Part 1•6 minutes
- Using SQL for Data Science, Part 2•6 minutes
- USDA Acknowledgment Video•2 minutes
- Course Summary•2 minutes
3 readings•Total 61 minutes
- Additional SQL Resources to Explore•15 minutes
- Final Project Instructions, Scripts, & Datasets•45 minutes
- USDA Acknowledgment•1 minute
4 assignments•Total 155 minutes
- Practice Final Project•45 minutes
- Module 4 Quiz•30 minutes
- Module 4 Coding Questions•35 minutes
- Final Project•45 minutes
1 discussion prompt•Total 15 minutes
- How do you Plan on Using SQL in the Future?•15 minutes
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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
Reviewed on Nov 10, 2019
Videos are a bit lengthy course could be shorter by 10-20% from a time perspective with the content staying the same. Overall good course for anyone that need to learn or to refresh their skills.
Reviewed on Oct 9, 2022
Really good course with intresting final task. In any situation will be shown "common structure of querry" and at most cases real-life examples. Will be great if this examples appear in every case
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