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

4.6
stars
16,666 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

AL

Aug 22, 2020

A comprehensive course that covers major aspects of query building and retrieval in a management system. The topics were delivered well and the materials/assignments were relevant for skill-building.

AT

Nov 18, 2020

Well it was a short course, the assignments are a little bit repetitive (mostly in the last). The course reviews every 'practical' aspects of SQL, how to assemble the bricks while writing queries,...

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2101 - 2125 of 4,308 Reviews for SQL for Data Science

By Nicolas P

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Sep 8, 2020

Very dinamic, like it a lot.

By Saurav K

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Aug 19, 2020

Great course. Learned a lot.

By Tung P Q

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Aug 17, 2020

Very usefully course. Thanks

By Tannu S

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Jul 26, 2020

Amazing content..Loved it!!!

By Leonhard v M

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May 25, 2020

Great material and lectures!

By Chinmay R

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May 17, 2020

Very Nice Course. Thank You.

By Shripad V J

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Apr 27, 2020

Good content and explanation

By Wendy V V

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Mar 15, 2019

All you need to know of SQL.

By Amazing A

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Mar 3, 2018

Its a good platform to learn

By Haojin J

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Jan 1, 2018

I think it is a great course

By Silvio Q

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Nov 11, 2023

Great introduction into SQL

By Renodiya S

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Sep 11, 2023

stepping stone to success!!

By Jaime P

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Mar 17, 2023

Great class on learning SQL

By Kelvin C

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Nov 9, 2022

The course was enlightening

By Sahil M

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Aug 7, 2022

One of the best Course ever

By Agostina P

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Oct 12, 2021

Muy útil para principiantes

By Data S

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Jul 24, 2021

Really good learning course

By thayeedha t

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May 17, 2021

Easy to Learn for Beginner!

By Evelin L

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Mar 20, 2021

Great course! Learned a lot

By Luis E R

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Nov 5, 2020

algo dificil pero muy bueno

By Bolla S T

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Oct 13, 2020

Great start for beginners..

By John W

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Aug 10, 2020

Quite helpful. Good intro.

By sarangu s s

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Aug 2, 2020

good coursev..learned a lot

By MISSULA S S S

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Jun 24, 2020

A good course for begineers

By Mark R A

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May 17, 2020

I learned a lot, thank you!