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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.

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4001 - 4025 of 4,274 Reviews for SQL for Data Science

By William G

Mar 22, 2023

Needed a more in depth explanation of calculated columns. I would have liked more information on the update and insert statements

By Daniel D

Jul 27, 2022

This course needs more examples or exercises with solutions to give a better understanding and use case scenarios for each topic.

By Мамедбаков И Р

Jun 25, 2020

The lecturer maybe is a good data scientist but does not have the skills of presenting or explaining material in an easy manner.

By Luke R

Aug 9, 2021

Good course overall, but the gap between what is tought and how complex some of the application can be is frustrating at times.

By Chan J J

Jul 14, 2019

should have provided more explanation and help for exercises and assignment questions. The lecture is also not in depth enough.

By Kahei I

Mar 29, 2023

the course itself was good however I did not like the last peer review assignment. It needed more structure and instructions.

By Kevin J

Jul 15, 2024

Did not provide enough detail or examples to do complex queries. Never got through all the exam questions and barely passed.

By Chen K

Nov 3, 2020

Course schedule was good , but content is a little short. To make improvement, should present some example during the video

By Thais S B

Mar 15, 2018

This is a good course for basic knowledge of SQL but the quizzes and assignments are very confusing and badly elaborated.

By Mohsin K

Jul 26, 2020

This is a good course on SQL for Data Science. As you will particularly start from scratch and go uptil tedious methods

By Dhanush n

Jul 26, 2023

examples are fewer and there's no output of examples makes it hard to understand. Definitely, it needs to be improved.

By Dhwanil V

Aug 14, 2020

The overall format was quite good but it would be more helpful if more examples are included in the lecture videos.

By KO

Jul 31, 2023

I felt modules 1-3 were good, but it went off the rails on module 4. Unclear assignments with poor instructions.

By TSUBASA T

May 17, 2020

This course is helpful for beginners, but I felt that some explanation weren't clear and quizzes were challenging

By subraj s

Jun 1, 2021

Assignments could be more basic.

The level of difficulty should gradually increased.

Superb instructor though.

By Saswata B

Jul 3, 2020

More explanation of concepts is required. Also it would have been better if SQL code was explained in depth.

By JEFFREY C W

Jul 7, 2022

Had to find outside tutorials to fully understand the subject. Needs more practice queries between lessons.

By Mike E

Feb 6, 2022

Good course, but we should re-enforce what we learn by doing coding after each video, not just each week.

By Smit P

May 22, 2020

Instructor should have explain each code by performing practically on pc instead of showing only image.

By Deleted A

Jun 11, 2022

I feel the examples were good but wis had more to practice in the course. Overall, pretty good course

By Dotun a

Aug 31, 2021

i think it will be better to learn using mySQL. and more info about dataset will be helpful to note

By Nick J

Mar 14, 2019

not really relevant to 'data science' its more of a general basic introduction to CRUD and joins

By Peter M

Jan 7, 2022

It would be better to be more practical better than a PPT, but the content itself is awesome.

By Ayush K J

Jun 25, 2020

examples for important concepts were lacking like the use of GROUP BY and CASE statements

By Гришин М С

Sep 21, 2021

Too many unnecessary words in lectures, but there is good coding practice at the end