Chevron Left
Back to SQL for Data Science

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

4.6
stars
16,503 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

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!

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.

Filter by:

3751 - 3775 of 4,274 Reviews for SQL for Data Science

By prachi j

•

Apr 4, 2020

its a very good course.

By Dheeraj G

•

Oct 3, 2023

Learned a lot from it.

By SAURAV K B M I Y

•

Jul 2, 2023

Nicely arranged course

By Sanjay D

•

Sep 8, 2022

good course for start

By Mykhailo B

•

Aug 26, 2022

Get rid of Peer review

By Priscilla C

•

Jun 17, 2022

Could be more pratices

By loukit k

•

Jul 31, 2020

very good for beginner

By Jeremy W

•

Jul 17, 2019

Overall pretty useful.

By Kennedy M N

•

Mar 11, 2023

Very informative work

By Brajesh

•

Jun 30, 2021

Great for beginner...

By Манукян Т

•

Jul 11, 2020

we need more examples

By Mark W

•

Aug 26, 2021

maybe too elementary

By Himanshu S

•

Aug 28, 2020

it was a good course

By Abdul S

•

Jul 29, 2020

The course was good.

By Daniele M

•

Oct 28, 2022

Very nice and fun!

By Rhishikesh S

•

Dec 16, 2021

great for begineers

By Savindu V K

•

Jul 29, 2020

It was really good.

By Ajay J

•

Sep 19, 2018

Good for beginners.

By Ishan A

•

Aug 28, 2018

Was a Great course!

By Cynthia M

•

Apr 27, 2022

Great stuff here!!

By Antara D

•

Sep 13, 2021

Good for starters!

By Choong D

•

Feb 5, 2021

A very good course

By Maria Y T H P

•

Jun 8, 2020

Good for berginner

By Raúl V - S

•

Jun 6, 2020

more coding please

By YIJUN S

•

Oct 22, 2019

Good for beginner.