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SQL for Data Science

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 pro...
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Platform: Coursera
Video: 3h 30m
Language: English
Next start: Start anytime

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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!

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.
✓ U​se 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.


There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

This course is for

This course is suitable for beginners.
Founder and CEO Women in Data (WID)
University of California, Davis
Sadie St. Lawrence is an AI Strategy Consultant for Accenture Applied Intelligence. Sadie brings a unique combination of technical expertise, analytics management experience and an ability to lead organizational change through compassion and problem-solving. She has trained over 70,000 people in Data Science and is an advocate for democratizing artificial intelligence and helping people transition into the 4th industrial revolution. In addition to her work with Accenture, Sadie is the Founder and CEO of Women in Data, a national non-profit organization focused on increasing diversity, creating connections, and driving meaning from data. Sadie is on a mission to bring compassion to business, and finds joy in helping individuals become liberated and find their own personal journey to a more authentic and connected life. In her free time, Sadie enjoys traveling, skiing, paddle boarding, yoga, and authentic conversations.
Platform: Coursera
Video: 3h 30m
Language: English
Next start: Start anytime

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