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

4.6
stars
16,045 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

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.

NK

Oct 5, 2022

Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!

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2026 - 2050 of 4,174 Reviews for SQL for Data Science

By SHISHIR S

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Jun 9, 2020

It great learning experience.

By Sanjeev J

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Apr 28, 2020

Well taught and comprehensive

By Ivy S

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Apr 17, 2020

Very Useful and very hands on

By Shiva

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Jan 24, 2020

Great... asignments were good

By Olga K

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Dec 4, 2019

Great Start for SQL Learners!

By Sudarshan S

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Nov 11, 2019

Best SQL course for beginners

By Rebecca D

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Aug 5, 2019

Very helpful and informative!

By Yvonne G

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Jun 5, 2019

peer review is pretty useful.

By Maikel R P d S

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May 2, 2019

Great course, very practical!

By zhangruqianwan@163.com

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Aug 2, 2018

useful and medium challenging

By Alejandro O G M

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Apr 18, 2018

a very good course, 100% good

By Ayodele O

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Feb 5, 2024

simple and straight-forward!

By Neeraj

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Oct 9, 2022

This SQL Course is Awesome.

By anna

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Jul 20, 2022

Easy for beginners to learn!

By Ivan

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Dec 7, 2021

Perfect course for beginners

By Habib A

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Aug 3, 2021

easy understand for beginner

By Anusha Y

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Aug 2, 2021

wonderful course ever or sql

By kalyani m p

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Apr 14, 2021

perfect course for beginners

By Ekrem K

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Jan 18, 2021

Everthing was great! Thanks!

By Pankaj

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Oct 3, 2020

Meticulously Designed Course

By BEATRICE I M I

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Sep 23, 2020

Very easy to understand 👍👍

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