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

4.6
stars
10,464 ratings
2,736 reviews

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

JP
Apr 5, 2020

This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.

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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1451 - 1475 of 2,777 Reviews for SQL for Data Science

By Yunke G

Sep 15, 2019

Great introductory course!

By Tham X Y

Aug 16, 2019

Great course for beginner!

By Shahzad A

Jul 25, 2019

Good course for a beginner

By Yuqing Z

Jun 27, 2019

Very nice course for SQL!!

By Sumit T

Feb 22, 2019

Highly recommended course!

By Robert V

Feb 6, 2019

Great introductory course!

By Syed R u R

Apr 22, 2018

Great course for beginners

By karthikeyan D

Aug 24, 2021

perfect for sql begineers

By ADELAJA O A

Aug 19, 2021

perfect learning platform

By Jorge J R G

Aug 15, 2021

Amplio mis conocimientos.

By Amanda

Aug 4, 2021

Great course to start out

By Abd M

Jul 15, 2021

great courses for beginer

By Walter S

Jun 21, 2021

Great course very helpful

By PRANITA S B

Jun 16, 2021

Best course for beginners

By Samantha S

Apr 25, 2021

Great first intro to SQL!

By ranjit

Mar 29, 2021

Good course for begineers

By My D H

Feb 27, 2021

It was an amazing course.

By Zhehong Z

Dec 12, 2020

Very clearly and helpful!

By Thanh P N

Nov 13, 2020

A good start for beginner

By Aurora M

Oct 31, 2020

Clear and easy to follow.

By lgna g

Oct 25, 2020

Nice course great lecture

By Sheetal T

Aug 29, 2020

Good course to be learned

By vikas t

Aug 24, 2020

good course for beginners

By Chetan S

Aug 15, 2020

it's good courses in SQL.

By Daxkumar J

Aug 11, 2020

Its good for data science