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学生对 加州大学戴维斯分校 提供的 SQL for Data Science 的评价和反馈

13,099 个评分


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!...



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.


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.


3301 - SQL for Data Science 的 3325 个评论(共 3,473 个)

创建者 Matt E

Apr 1, 2018

You can learn this stuff on your own. You don't need a course.

创建者 Priyanshu V

Jul 31, 2020

Some topic is not cover like constraints alter modify default

创建者 Tim S

Jul 8, 2020

Quite easy. The peer-reviewed assignment is also very easy.

创建者 liqi x

Dec 24, 2019

not enough teaching examples, could be tough for beginner

创建者 Ashish D

Jun 29, 2021

Explanations could be improved with the help of examples

创建者 Tanmay C

Jun 25, 2020

Very fast and high level for a person who knows nothing

创建者 Saulo G d M S

Jul 27, 2020

A really good course, but the forum isn't that great.

创建者 Karan D K

Oct 19, 2021

I​mportant topics like window functions are missing.


Feb 24, 2021

Could be more better. You could have taught more SQL

创建者 Zaur T

Feb 11, 2022

Would like to see some exercises between new topics

创建者 Phillipe S S R

Jan 3, 2018

Quiz and graded materials not available for free.

创建者 Hari G

Dec 11, 2019

Too much theory and very little or no practice

创建者 Oleg E

Aug 14, 2022

Сокурскники ставят слишком низкие оценки

创建者 Deleted A

Jul 5, 2021

The course is basically theoretical.

创建者 dager6

May 4, 2018

Good general basic introductions.

创建者 Tong Z

Dec 26, 2021

do not like the peer review part

创建者 Gaoge Z

Jan 4, 2021

Could show results in demos.

创建者 Fabian M

Mar 16, 2021

Too little practice

创建者 William J G

Jun 4, 2022

good but dated

创建者 Renuka G

Dec 20, 2019

good one

创建者 318126512050 S R B

Jun 21, 2021


创建者 Carl D A

Aug 13, 2020


创建者 Krishna G

Jun 10, 2020


创建者 Chen G

Feb 15, 2019


创建者 Gergely H

Jul 30, 2021