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

4.6
stars
16,509 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

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.

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!

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826 - 850 of 4,275 Reviews for SQL for Data Science

By Muhammad S

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Aug 31, 2020

Excellent Course as it covers core concepts of SQL which one can utilize for backend development any many more.

By Samip T

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Mar 4, 2020

One of the best instructor. Just made understand SQL inside out. Must take the course to understand all topics.

By Roger D C

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Feb 23, 2020

Great course and experience.

Suitable for all levels where content can be applied immediately

Highly recommended!

By Md I H

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Nov 24, 2019

Excellent and easy to understand. Very nicely structured. The exercises give you a strong foundation in SQLite.

By Franck N

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Sep 9, 2019

Very clear, which both pratical examples and exercises.

But of course expand your curiosity to other sources....

By Kainan L

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Aug 3, 2019

The content is great, but it seems the final assignment makes everybody crazy because of its poor instructions.

By Kevin T

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Nov 18, 2023

really good applied course. the course is in SQLlite, but may be best to teach in whatever is the standard now

By Samuel M

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Jan 3, 2023

Excellent program that teaches the core fundamentals needed in using SQL to answer and solve business problems

By Nizar N

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Dec 13, 2022

It is a really good course for beginner to start learning SQL. Easy to follow and fun exercises along the way.

By ERIC M

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Nov 13, 2021

El curso es muy teorico y es algo fundamental , para la practica estaria bueno revisar otros lugares en la red

By Екатерина Л

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Sep 3, 2021

Thank you. The course was very interesting!

sorry can I have an English language name on my sertificate please/

By TSE C W

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Aug 24, 2020

Very good course for beginner of learner of data science and it provide some basic training in SQL programming

By Eric H

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Sep 5, 2022

Really good for someone just starting out. Would recommend to someone if they are intrasted in learning SQL.

By Tamara S

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Mar 3, 2022

Covered all the basics. I feel the quizzes and final were adequate to ensure the student learned the content.

By Souparna C

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Aug 3, 2021

Most helpful explanation in a course of right length. Thanks to Sadie St. Lawrence, UCDavis and Team Coursera

By sumbel t

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Jun 6, 2021

The course outline was designed very well. The assignments were quite tough, helped me learn sql more better.

By Saket P

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May 14, 2023

Sadie St. Lawrence is a great teacher. She taught SQL very well in this course. I recommend it to beginners.

By Deepak B

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Apr 5, 2023

This is a very helpful course. It helped me a lot. I will recommend it to all if you want to learn and grow.

By Kamrun N

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Dec 31, 2022

Instructor is really good and this course gives a very good start to anyone with zero prior knowledge of SQL

By Jagunmolu O

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Aug 3, 2022

Absolutely great course to take and its absolutely beginer friendly. The tutor is knowledgeable and engaging

By Francesco M

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Nov 8, 2020

Very interesting and relevant course in these times when data-driven businesses are being created by the day

By Rodrigo R F

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Oct 13, 2020

Se nota que se preocupan para que el alumno aprenda por su cuenta y lo alientan a estudiar más sobre el tema

By Zalina R

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Sep 7, 2020

I enjoyed the course immensely. excellent lecturer, good practice. thank you for a great time on the course.

By Darina K

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Aug 25, 2020

Very good course with enough content to understand basics of SQL. Interesting assignments and lots of tests!

By Nilesh K S

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Jun 6, 2020

I would highly recommend this beginner SQL course to everyone who wants to dive into the Data Science field.