Chevron Left
Back to SQL for Data Science

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

4.6
stars
16,790 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 21, 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 17, 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,...

Filter by:

3026 - 3050 of 4,331 Reviews for SQL for Data Science

By ZOILA M R R

•

May 18, 2021

So

By Yiwen Z

•

Apr 12, 2021

!!

By Ángel G

•

Sep 6, 2020

GJ

By vishal c k

•

Aug 31, 2020

..

By Sowmia M

•

Aug 3, 2020

nj

By Kiran V

•

Oct 18, 2023

-

By DIEGO M P Q

•

Mar 29, 2023

9

By Md S

•

Nov 13, 2022

g

By Alperen K

•

Aug 18, 2022

x

By Aditi D

•

Aug 16, 2022

-

By RAVIKUMAR C

•

Aug 13, 2022

I

By Jasper D S

•

Oct 4, 2021

By Nisarg C

•

Jul 20, 2021

.

By Arif S

•

Jul 8, 2021

g

By CHRISTIAN M T

•

Dec 18, 2020

E

By Pierre K

•

Nov 30, 2020

.

By AJEET S

•

Nov 7, 2020

i

By Med E

•

Oct 9, 2020

.

By Ayman M

•

Aug 24, 2020

a

By Dwi F A

•

Aug 23, 2020

-

By James J P

•

May 8, 2020

I

By Omkar G

•

Mar 11, 2020

.

By Magne V

•

Jul 12, 2019

E

By Ganesh L

•

Dec 5, 2018

E

By Jason P

•

Apr 3, 2024

I recommend this course but not as an absolute beginner to SQL as the course suggests for the following reason: after each video tutorial there are no practice exercises to implement the expressions and clauses reviewed in the video lessons and a majority of students seem unable to complete the weekly tests without considerable outside supplementation. From a time investment perspective, I recommend studying SQL elsewhere before taking this course, and then cruise through the video lessons and use the weekly tests to practice the foundation you gained elsewhere. SQLbolt receives a lot of praise and I will head there next before considering the other courses that comprise this UC Davis SQL certificate. What this course does well: the instructor, Sadie St. Lawrence, explains the topics concisely, the videos are not too long, the supplementary articles and links are helpful, the practice tests are great for practice. Areas of improvement, some of the questions are poorly worded, there should be instruction on how to download datasets and practice them in Sandbox, the questions during the videos are superfluous but I understand that it helps prevent students from skipping the videos, not enough opportunity to practice the concepts are provided.