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Learner Reviews & Feedback for SQL for Data Science by University of California, Davis

4.6
stars
17,114 ratings

About the 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!...

Top reviews

EL

Jan 29, 2019

Perfect course! But recommend the last main exercise do more readable and understandable. It is difficult to read in a text file, single-color task and it is not always clear what needs to be done.

MV

Jul 19, 2020

Please Included examples while the instructor is teaching in the video lectures. The instructor is very talented in teaching but due to lack of examples in the video it downgrades the overall course.

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2926 - 2950 of 4,415 Reviews for SQL for Data Science

By Kudikala R

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May 31, 2023

great

By Kalinga P

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Mar 15, 2023

great

By Sudip N

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Feb 23, 2023

great

By Zhalgas S

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Jan 5, 2023

Great

By renu

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Dec 2, 2022

Great

By SHRADDHA S

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Oct 21, 2022

Nice

By Fariyadh S

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Sep 12, 2022

good

By Sayed S ,

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Sep 7, 2022

good

By Ooraya S

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Aug 26, 2022

good

By KARIN V A C

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May 25, 2022

Good!

By ayeshwarya a

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Mar 21, 2022

Great

By Huseyn I

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Jan 24, 2022

10/10

By Tural Y

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Dec 30, 2021

great

By Dilnaz K

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Dec 5, 2021

k jmk

By EDGAR I M P

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Nov 21, 2021

zzeee

By 高展

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Sep 9, 2021

good!

By Manasjyoti B

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Aug 31, 2021

Good!

By Shijie Y

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Aug 11, 2021

nice!

By Benjamin T

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Aug 11, 2021

great

By cuong n m

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Jul 13, 2021

good

By gagan

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Jul 11, 2021

great

By Emmanuel B O

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Apr 1, 2021

Great

By Erick L

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Jan 22, 2021

great

By WeeSuckzeed

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Jan 6, 2021

Great