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

4.6
stars
17,011 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

SM

Mar 15, 2020

Good course for beginners.- classes are fine- quizzes evaluate quite well your understanding I think- the final assessment contains plenty of VERY ambiguous questions and I think it should be reworked

MV

Jul 19, 2020

Please Included examples while the instructor is teaching in the video lectures. The instructor is very talented in teaching but due to lack of examples in the video it downgrades the overall course.

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801 - 825 of 4,386 Reviews for SQL for Data Science

By Xiaohe Q

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Feb 8, 2020

i love the professor so much,i also enjoyed learning this!it laid a solid foundation for my future learning and work

By Ngoc D

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Jun 8, 2019

It's a great course I have learnt so far that could help me boost my skills up for my data career. Highly recommend!

By Shuvra D

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May 9, 2023

The trainer and the example she shows in the whole course is awesome and it keeps my mind in easy path of learning.

By AlAA D

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Oct 20, 2022

Really a comprehensive and important course for anyone who wants to start learning the SQL language

Thanks so much

By Kimara

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Sep 26, 2022

Excellent delivery and content . I've learned so much and am commited to learning more and applying it. Thank you!

By Wade H

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May 16, 2022

This is one of the best introductions to SQL I have seen using real world data sets and applications of principles.

By Ana C P M

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Jan 21, 2022

Es muy interesante y gracias porque cada explicacion fue buena, solo se necesita mas ejemplos para poder practicar.

By Shane R

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Sep 21, 2021

Very easy to understand, and I'm so much more comfortable with utilizing SQL than I was before! Highly recommended!

By Pablo H C

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Nov 2, 2020

A nice first dive into SQL with a very steady progression. Would recommend to people without any experience in SQL.

By aishwary d

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Apr 14, 2020

Excellent course with deep insights of the basics as well as the advanced topics and explained in a very simple way

By Vivek K

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Sep 28, 2023

Thank you, Coursera and team, for this course that you guys helped me in getting my first certificate on Coursera.

By ALEIX P I

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Sep 4, 2021

Very good introduction to SQL. Furthermore, it offers additional resouces for extra learning and skill developing.

By Jennifer B

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Aug 10, 2021

This is a great beginning SQL class. Learners should follow the beginning to end process for structured analysis.

By Aravind V

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Jan 16, 2021

It was great taking this course. It would be of additional benefit if there is course on more advanced SQL topics.

By Kevin D

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Dec 16, 2020

Thank you very much for allowing me to attend this course! The videos are a great way to understand the concepts.

By Anito C J

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Jul 10, 2020

Its a great course to understand SQL. It was taught in a very simple and understandable manner.Amazing experience!

By Syed H H

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Aug 3, 2019

Effective course. Includes the right mix of lectures and interactivity through quizzes, exercises and assignments.

By Aditya Y

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Aug 14, 2023

Great opportunity to complete this excelent course from University of California. Great lesson and great learning

By Mark D G

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Feb 1, 2023

The course is good, everything was explained in a simple way but of course you still need to practice to improve.

By Istenio S C

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Dec 1, 2022

Good teaching, many exercises and tests that induce reasoning and effort in studying correctly to obtain results.

By Patrick M

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Apr 6, 2022

Sadie was a good teacher. I enjoyed her class. Pace and difficulty level were well balanced for beginners in SQL.

By Emiliano A

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Mar 27, 2021

Very useful and it works to give you the big picture of how SQL works and how can it be applied for data analysis

By JUAN E A S

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Dec 2, 2020

like a lot , best expirience of learning a course online, i fell in love with the teacher, kind and humble person

By KSHITIJ S C

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Jul 10, 2020

Very well structured course. Good amount of practical learning. Covers all you need to start as a Data scientist.