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SQL for Data Science に戻る

カリフォルニア大学デービス校(University of California, Davis) による SQL for Data Science の受講者のレビューおよびフィードバック



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!...



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.


best course for learning SQL for beginners.I learned so much from this course.the speaking language is also simple ..So i Recommended this course for beginners who's 2nd or third language is English.


SQL for Data Science: 51 - 75 / 2,292 レビュー

by manish r


Good course. The peer assignments was a bit challenging hence most interesting as well.



Comparing to other stuffs, this is really brilliant

by hridaya s


Very nicely communicated

by shubham


i want my money back

by Sandipan C


The course was pretty good for a beginner. The instructor was very clear and explained all the concepts in a very easy to grasp manner. However, the entire course could do with more coding exercises. Concepts such as joins, group, etc could be better understood if there were more exercises. Also, during the coding exercise (at the end of the week) it would be really helpful if correct answer and an explanation would have been provided. Having said that, its really good for beginners and I would and have recommended this to others.

by Chloe W


=) 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!

by Alex H


Thought some of the intuitive thinking was a bit challenging, but really liked how the sqlite server was built into the course and didn't require any download or off-site work. Think some of the time estimates should be a bit longer, but overall good course.

by Prashanna G


Good course for anyone starting to learn SQL but the course needs more assignments to ensure that the learners have got a good understanding of the concepts. Also, the final project is a bit overwhelming to do without prior experience in SQL.

by Deepak G


A nice course for introduction with SQL but they could have used the software currently used in the industry like oracle's MySQL or SQL server.

by Rathindra M


Would have been better if there was a chapter on connecting to an sql server from an application or gui.

by Nikhil S


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

by Kunal S


Good for beginners

by Muhammad A B


best courses

by Omer G


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.

by Brent L


Examples, examples, examples. This course could be drastically improved by providing more concrete examples of each function, preferably one we can play and explore with in some exercise (not just a practice quiz) if not right there in the lesson (much like w3schools does). I felt that this would have increased my understanding, confidence, and proficiency exponentially.

by Madanuri N S


This is really a good basic knowledge course. Actually the more usable commands will be convered

by Christina L G


Although the information and topics in itself are interesting and the course gives a good overview, the individual videos have a lot of repetition (in 5 minutes an intro, the main part and a summary), and I find the person who gives the course hard to listen to, as it often seems like she doesn't understand what she is saying. Also the questioning in the case study is very unclear - watching the discussion forum I'm not the only one who struggled to understand what they want. The provided answers for reviewing your peers are so widely interpretable that I myself got max points from 2 students for 1 question, while the third gave 0 points. And that for several of the questions. Overall not satisfied over the quality of this course

by Toby C


I felt the course was put together in a hurry. There was a lot of information that was incomplete or just plain incorrect. The assignments were even more vague than I was expecting. OTOH It does lead you through learning very basic SQL.

Too much focus was given to SQLite which is not an industry standard. Perhaps using a free DBMS like Postgres or MySQL would have been better. Are there any interactive T-SQL or Oracle engines that could be put in a box like the SQLite here?

by Ana


This is the first course from Coursera that I didn't like at all. For absolute beginners is not suitable. There is only theories and somehow boring because there isn't any examples to do at the same time to understand the content better.

I recommend to add more examples to the weekly courses like the ones for the final project so we can understand the theory more.

by Miriam G


Lectures were stilted and repetitive, some of the exercises were poorly thought through and the peer-grading is a joke, with people grading me as having got questions correct, when having seen the answers I now know I got some questions wrong! Questions from peers went unanswered in the forums.

by Jan C


It stars strong, but on weeks 3-4 it lacks comprehensive examples and guidelines, and that makes you feel lost. Also, the final assignment is very hard, and it asks things in a non-comprehensive manner, which makes you spend a lot of time until you understand what they are asking you.

by Jibran A


The teacher has really good knowledge of SQL and I really respect her for that, but as someone who is not familiar with SQL finds it difficult to give quiz without any side by side practice of the topic

by Ahmad S


Nice course! Only giving it low stars because the assignments are so out of data. Please update your assignments corresponding to updates to Database.

by Salim A


It's very basic SQL, definitely not challenging for anyone with SQL experience

by Stephen C


I originally wrote this review about halfway through the course and gave it 2 stars, but I just got to the final project and am amending it to be 1 star. My reasoning for one star is as follows:

1) The instruction is often difficult to follow. The instructor will narrate with a snippet of code and a table or set of tables on the screen, but there won't be any visual aid to help follow along, as the slides are static. She also frequently stumbles over herself while reading from her teleprompter, so the combination of the static slides and her directionless cadence makes it very hard to keep track of what is going on.

2) The evaluations are split into two types, one of which is informational, one of which is coding. The questions of the former type very rarely reflect any sort of understanding and are more about rote regurgitation of information found on the (poorly formatted) slides. After taking a quiz or two, you come to realize that virtually any time a list is written on the screen, you had better write down every item on that list because there will be a "select all that apply" question at the end. Sometimes writing it all down doesn't even work, as she doesn't take care to make sure her headers and data match up. A parallel to the kinds of lists she often uses would be:

Types of Vegetables

1. Celery, 2. Cauliflower, 3. Vitamin C is good!, 4. Carrots, 5. Make sure to eat your vegetables!

The subject she is teaching revolves entirely around key-value pairs, and her slides don't reflect any sort of understanding of that relationship. If that table only accepted "vegetable" as a data type, she would get an error.

3) The coding evaluations, on the other hand, are extremely difficult as they extend the information well beyond what was taught in the preceding lecture, and almost no time is given to allow you to explore how the code works. The course thrusts you into a situation where you're writing code in a language with which you have almost no familiarity (and SQL has pretty poor error handling, and no custom error handling is written to help you understand where you went wrong). I strongly, strongly recommend Coursera learners take another class or use some other tool to learn SQL. I used a free instructional tool and felt so much more competent after 10 minutes of messing around on it than I did after watching an hour of lecture.

4) The material is often presented as her opinion rather than factual information that should be learned. I've taken a number of courses on Coursera, and they've been treated professionally, where information delivered was generally factual. If the professor wanted to inject opinion, it would be made clear it was opinion, and an evaluation may read, "Which of these may make x easier" or something like that. This instructor will phrase things like, "What did I say was the most important thing to know..." which just seems unprofessional. EDIT: Another example in response to a correct quiz answer was "You're not actually writing the query to the database or anything. What you're doing is you're just kind of storing it for the time being."

Look at that last sentence.

I could go on, but all in all, this course didn't even begin to resemble the level of professionalism or quality I've seen in other courses on Coursera. It reminds me of being peer taught during my education degree, full of teaching methods and lacking instructional skill. However, it's the only one that popped up as a beginner's course on SQL, so I finished it out. I regret doing so.