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

4.6
stars
16,588 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

GC

Dec 29, 2022

Great course! A solid way to introduce a learner to programming in SQL!! Sadie is an amazing online instructor! Thank you to Sadie and UC Davis for offering this course through the Coursera platform!!

JG

Aug 22, 2021

I thought this course was great! Great introduction to Relational Databases and SQLite. Highly reccomend for anyone new to SQL, Databases, or someone looking to get started with a data science career.

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2126 - 2150 of 4,294 Reviews for SQL for Data Science

By Prudhviraj K

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Feb 25, 2019

It helps a lot to my career

By Shuchi T

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Dec 3, 2018

Great course for beginners!

By Dhaamin

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Jan 25, 2018

Great beginner SQL course .

By Deleted A

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Nov 26, 2024

Мне очень понравился курс!

By Felipe T

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Dec 10, 2023

Great course to learn SQL!

By Sunisa D

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Apr 10, 2023

Good course and instructor

By Med k S

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Feb 5, 2023

Great Course, Thank you <3

By Salai A M J B

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Feb 4, 2023

Great Course for Beginner.

By Addison M

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Jan 30, 2023

Very much worth your time!

By Jose A R

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Aug 1, 2022

very good practical course

By Abhinav T

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Jul 6, 2022

very well designed course.

By LUIS G

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Jul 2, 2022

util para empesar con sql

By Joseph S

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Jul 1, 2022

Great introduction course.

By binbin s ( o f

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Feb 3, 2022

thank you so much coursera

By Amir T

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Dec 18, 2021

great introduction to SQL

By mustafa a

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May 26, 2021

Great course for beginners

By Mollie N

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Jan 28, 2021

Challenging in a good way.

By gisely a t

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Jan 5, 2021

Super curso, muy didactico

By Koray T

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Nov 29, 2020

It was awesome. Thank you.

By Jay M

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Aug 28, 2020

I WANT TO GIVE YOU 10 STAR

By Subiya T

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Jun 22, 2020

Thank you! awesome journey

By Bonginkosi M

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Jun 17, 2020

This is best course ever!!

By Khushi S

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Jun 2, 2020

best course thanku so much

By Shuya Z

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Feb 25, 2020

It is indeed very helpful.

By Dinuka D

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Oct 14, 2019

High standard assignments.