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

4.6
stars
16,640 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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4076 - 4100 of 4,304 Reviews for SQL for Data Science

By Hari G

•

Dec 11, 2019

Too much theory and very little or no practice

By Benji W

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Apr 7, 2023

Good information, but delivery was not great

By Muhammad A K

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Nov 30, 2022

Vary basic course on SQL and Data Science.

By Shahzaib R

•

Jun 30, 2024

not well explained, thank god i have GPT

By Oleg E

•

Aug 14, 2022

Сокурскники ставят слишком низкие оценки

By K.Senthil R

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Feb 16, 2024

Need more practical rather than theory.

By Deleted A

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Jul 5, 2021

The course is basically theoretical.

By Yang Y

•

Jul 18, 2024

The course content is very limited.

By dager6

•

May 4, 2018

Good general basic introductions.

By Tong Z

•

Dec 26, 2021

do not like the peer review part

By Gaoge Z

•

Jan 4, 2021

Could show results in demos.

By Preety R

•

Aug 21, 2023

Not explaining in depth

By Fabian M

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Mar 16, 2021

Too little practice

By William J G

•

Jun 5, 2022

good but dated

By Md: A H

•

Oct 25, 2023

nice course

By Renuka G

•

Dec 20, 2019

good one

By Ravikumar C

•

Feb 2, 2023

good

By 318126512050 S R B

•

Jun 21, 2021

good

By Carl D A

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Aug 13, 2020

good

By Krishna G

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Jun 10, 2020

good

By Chen G

•

Feb 16, 2019

Soso

By Gergely H

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Jul 30, 2021

Y

By renas c

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Mar 12, 2021

.

By Manas d

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Sep 19, 2020

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By Linda O

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Dec 14, 2022

This course is a basic introduction to SQL, using SQLite. It covers the logic of databases, ER diagrams, how to select data from a table, create new variables, use aggregate functions, join tables and use date and text features. I finished the course with a basic set of SQL skills. That is the upside of this course.

The downsides are many. The lectures are dull and uninspired. The teacher is inarticulate and does a poor job of explaining the concepts. Some of the homework problems require the use of features not covered in class. Some of the instructions in the homework assignments are unclear, leaving the student wondering what is being asked of them. Some of the code used in the lectures does not work in the homework assignments, particularly the date functions. Week 4 of the course was particularly poor, and it was an endurance test to complete it. The final assignment, which is supposed to take 1 hour, took over a day, in part because the poor directions provided. On more than one question, I was not sure what the instructor was looking for.

The final downside is Coursera itself--the discussion boards are a useless mess. They are full of people begging other students to grade their assignments, with little actual discussion of the course material. If you are looking for help understanding something, look elsewhere; you will not find it in the discussion boards. Coursera needs to fix this mess.

In short, I can't understand how this course has an average rating of 4.5. I would not recommend it. There have to be better introductory SQL courses out there.