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

4.6
stars
17,050 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, 鈥減art mathematician, part computer scientist, and part trend spotter鈥� (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

KF

Apr 2, 2023

I loved the practices. I learned alot But I think some of them had mistakes... The online visual studio code never worked for me! It might be good to make a video that explains how to work with it.

EL

Jan 30, 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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3826 - 3850 of 4,396 Reviews for SQL for Data Science

By YASHASHREE W

鈥�

May 15, 2020

A real great experience :)

By Begmurodov U A o

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Apr 4, 2023

Need translate in russian

By Maria F M

鈥�

Nov 2, 2020

really good for begginers

By Rokay J M

鈥�

Jul 15, 2020

Good course for beginners

By Jigeesha K

鈥�

May 26, 2020

Good course for beginners

By Aadyant A

鈥�

Sep 7, 2021

Well structured course !

By Shema F

鈥�

Jun 18, 2021

nice to learn new things

By Anubhav S

鈥�

Jul 14, 2020

Nice Course for beginner

By Tanmoy S

鈥�

May 9, 2020

Nice learning experience

By Crispin B

鈥�

Apr 10, 2023

Great Beginner's course

By Pankaj K Y

鈥�

Apr 1, 2021

Well structured course.

By prachi j

鈥�

Apr 4, 2020

its a very good course.

By Dheeraj G

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Oct 3, 2023

Learned a lot from it.

By SAURAV K B M I Y

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Jul 2, 2023

Nicely arranged course

By Sanjay D

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Sep 9, 2022

good course for start

By Mykhailo B

鈥�

Aug 27, 2022

Get rid of Peer review

By Priscilla C

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Jun 17, 2022

Could be more pratices

By loukit k

鈥�

Jul 31, 2020

very good for beginner

By Jeremy W

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Jul 18, 2019

Overall pretty useful.

By Kennedy M N

鈥�

Mar 11, 2023

Very informative work

By Brajesh

鈥�

Jun 30, 2021

Great for beginner...

By 袦邪薪褍泻褟薪 孝

鈥�

Jul 11, 2020

we need more examples

By Mark W

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Aug 26, 2021

maybe too elementary

By Himanshu S

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Aug 28, 2020

it was a good course

By Abdul S

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Jul 30, 2020

The course was good.