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

4.6
stars
17,034 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

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.

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.

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4151 - 4175 of 4,393 Reviews for SQL for Data Science

By Hunter G

•

Mar 11, 2023

The peer review part is BS and time consuming.

By Hari G

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Dec 11, 2019

Too much theory and very little or no practice

By Benji W

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Apr 7, 2023

Good information, but delivery was not great

By Muhammad A K

•

Nov 30, 2022

Vary basic course on SQL and Data Science.

By Shahzaib R

•

Jun 30, 2024

not well explained, thank god i have GPT

By Oleg E

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Aug 14, 2022

Сокурскники ставят слишком низкие оценки

By K.Senthil R

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Feb 16, 2024

Need more practical rather than theory.

By Deleted A

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Jul 5, 2021

The course is basically theoretical.

By Yang Y

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Jul 18, 2024

The course content is very limited.

By dager6

•

May 4, 2018

Good general basic introductions.

By Tong Z

•

Dec 26, 2021

do not like the peer review part

By Gaoge Z

•

Jan 4, 2021

Could show results in demos.

By Hoàng V Q

•

Jul 27, 2025

cannot open the course 3

By Preety R

•

Aug 21, 2023

Not explaining in depth

By Fabian M

•

Mar 16, 2021

Too little practice

By William J G

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Jun 4, 2022

good but dated

By Md: A H

•

Oct 25, 2023

nice course

By Renuka G

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Dec 20, 2019

good one

By Ravikumar C

•

Feb 2, 2023

good

By 318126512050 S R B

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Jun 21, 2021

good

By Carl D A

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Aug 13, 2020

good

By Krishna G

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Jun 10, 2020

good

By Chen G

•

Feb 15, 2019

Soso

By Gergely H

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Jul 30, 2021

Y

By renas c

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Mar 12, 2021

.