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學生對 加州大学戴维斯分校 提供的 SQL for Data Science 的評價和反饋

4.6
2,713 個評分
674 個審閱

課程概述

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!...

熱門審閱

AM

Jul 17, 2019

This course is designed with beginners in mind, and it is an excellent introduction to SQL. I intend to further my knowledge of SQL after taking this course. The instructor did a terrific job.

AM

Jun 08, 2019

Great introductory to the SQL programming. This will definitely not only add another programming skill but also give me more capabilities programming in SAS. I would recommend this to anyone.

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26 - SQL for Data Science 的 50 個評論(共 672 個)

創建者 Mohamed A

Sep 29, 2019

The Course was quiet good & descriptive, yet it didn't cover a lot of SQL such as how to use its platforms and how to connect to database, also, the differences between other platforms.

創建者 Victoria T

Sep 16, 2019

Sadie St. Lawrence is a completely motivating person. Thank you, Sadie, for such an excellent combination of professional teaching and interesting tasks. Well-balanced course

創建者 shubham

Jan 24, 2019

i want my money back

創建者 Chloe W

Oct 31, 2018

=) Very clear walkthrough of important concepts in SQL and why use certain functions for certain tasks.

=( Wish there were more practice questions so it's more interative.

=( Also it would be great if there are more "real-life" SQL practices that involve solving for an actual question that you might encounter as a data scientist working for a tech company.

Thanks so much for sharing this with us, Sadie!

創建者 Sergii S

Jan 12, 2019

The Content of the course is good, quizzes are fine, but the final project is a total mess up, inconsistent and don't contain the course potential, so you won't be able to apply the knowledge by doing it

創建者 Nikhil K s

Jan 30, 2019

Great course with great learning and an opportunity to apply that learning

創建者 Peilin G

Feb 02, 2019

As a beginner, the course is easy to understand and follow, and the course teaches a lot of useful commands. However, I think the course still has a lot to imrove. Some codings in the lectures have problems (e.g. lack ','). When introducing new commands, the teacher did not show the running results of the coding example. I also think the course lacks some application in the real world. Maybe providing more real business cases will help students understand better about when some commands will be applied.

創建者 Omer G

Jul 02, 2018

While I did learn some useful bits, I found the course lacking. I think it could have been much improved if certain conditions would have been met:A. More practice! You don't learn a computer language by hearing about it, you learn by using it. The only practice this course had were the quizzes, and they were far from sufficient. I would expect each lesson to be followed by at least some practice. I often found myself venturing to different websites in order to practice what I had learned, and learned more from that than I did from the actual course.B. Better explanations. I found the explanations short and sometimes lacking. Moreover, at times there was no synchronization between what the instructor was saying and what was presented on screen (e.g. she was talking about products when the example presented data of employess). It's a small thing but can be very confusing. It is very important to be precise here. Again, I found myself reading elsewhere in order to better understand certain concepts, which I might as well have learned elsewhere altogether.C. Examples! Again, you don't learn a computer language by hearing about it. You learn by using it or by seeing how it is used. Whenever I'm taught something, I want to be shown examples of possible ways to use it. Examples were scarce and incomprehensive.D. Applicability. The course is called "SQL for Data Science", yet I found very little in the way of applying SQL to data science. I would expect a lot more tips and tricks and examples of real-life problems and how an actual data scientist would tackle them. There was almost none of that. There were positives as well. The instructor was pleasant, the course was pretty well structured and did provide an introduction (although not much more) to SQL. But I did not get what I was hoping for.

創建者 Shuchi T

Dec 03, 2018

Great course for beginners!

創建者 Jose R

Dec 04, 2018

Very well expalined, intended mainly for anyone which does not have any prior understanding for either SQL language or data analysis.

創建者 Ganesh L

Dec 05, 2018

E

創建者 Kuruwage S S

Dec 20, 2018

Great course content and clear to understand. Thank you ..

創建者 Francesco L S

Nov 23, 2018

very nice introduction to SQL, in very few steps got me from my 0-knowledge to being able to understand DBs and run complex queries!

創建者 Tabish F

Dec 11, 2018

Would be better if you could support MySQL,

PostgreSQL

創建者 Mohamed A A

Dec 12, 2018

Great course. Thank you very much !!

創建者 Sergio G C

Dec 13, 2018

Loved this course. Easy to follow videos, they go straight to the point and you can practice queries right away from the first lesson. Gradually increases in difficulty and you end up doing a very interesting and helpfull assingment. I fell I earned all the basics in SQL.

創建者 Márcio A B d L

Dec 13, 2018

Excelente!

創建者 Alexander H

Dec 26, 2018

Sadie is very well-spoken and keeps the material interesting.

創建者 Manuel A L C

Jan 02, 2019

pretty useful for a beginner insight on data science

創建者 Shenkuan Z

Jan 27, 2019

Very helpful lectures. It is introduced in a step-by-step way and easy to follow.

創建者 Alastair M

Jan 26, 2019

Great course offering could practical experience and good theory.

創建者 Kai C

Jan 03, 2019

This was a really good course! It was comprehensive and thorough. Truly truly great course!

創建者 Sachin T

Jan 30, 2019

This course is structured very well. Used concepts widely used in Data Science/Engineers work.

Few concepts required more details.

創建者 MOSES A E

Jan 30, 2019

Interesting content delivery carried out in logical sequence.

創建者 Elena L

Jan 30, 2019

Perfect course! But recommend the last main exercise do more readable and understandable. It is difficult to read in a text file, single-color task and it is not always clear what needs to be done.