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SQL for Data Science

University of California, Davis via Coursera

1 Review 182 students interested
  • Provider Coursera
  • Subject Databases
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 3-5 hours a week
  • Start Date
  • Duration 4 weeks long
  • Learn more about MOOCs

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Overview

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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!

Taught by

Sadie St. Lawrence

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Review for Coursera's SQL for Data Science
1.0 Based on 1 reviews

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Dietcoke D
1.0 8 months ago
Dietcoke completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
I do not recommend this course. This course introducesvery basic stuff but requires you to do more advanced quizs and assignments. For example, the instructor doesn't talk about how to iterate each columns in a table, but in a quiz we need to do so. I googled it but got no solution. Then Iasked the mentors of this course, but the reply of the mentor is to type the name of the columns 1 by 1 (there are aound 20 columns in total). Another example: we are required to calculate the correlation between 2 columns, but there is no correlation function in sqlite. We need to write a correlation funct…
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