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

4.6
stars
16,609 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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4076 - 4100 of 4,299 Reviews for SQL for Data Science

By Shahzaib R

Jun 30, 2024

not well explained, thank god i have GPT

By Oleg E

Aug 14, 2022

Сокурскники ставят слишком низкие оценки

By K.Senthil R

Feb 16, 2024

Need more practical rather than theory.

By Deleted A

Jul 5, 2021

The course is basically theoretical.

By Yang Y

Jul 18, 2024

The course content is very limited.

By dager6

May 4, 2018

Good general basic introductions.

By Tong Z

Dec 26, 2021

do not like the peer review part

By Gaoge Z

Jan 4, 2021

Could show results in demos.

By Preety R

Aug 21, 2023

Not explaining in depth

By Fabian M

Mar 16, 2021

Too little practice

By William J G

Jun 4, 2022

good but dated

By Md: A H

Oct 25, 2023

nice course

By Renuka G

Dec 20, 2019

good one

By Ravikumar C

Feb 2, 2023

good

By 318126512050 S R B

Jun 21, 2021

good

By Carl D A

Aug 13, 2020

good

By Krishna G

Jun 10, 2020

good

By Chen G

Feb 15, 2019

Soso

By Gergely H

Jul 30, 2021

Y

By renas c

Mar 12, 2021

.

By Manas d

Sep 19, 2020

.

By Linda O

Dec 14, 2022

This course is a basic introduction to SQL, using SQLite. It covers the logic of databases, ER diagrams, how to select data from a table, create new variables, use aggregate functions, join tables and use date and text features. I finished the course with a basic set of SQL skills. That is the upside of this course.

The downsides are many. The lectures are dull and uninspired. The teacher is inarticulate and does a poor job of explaining the concepts. Some of the homework problems require the use of features not covered in class. Some of the instructions in the homework assignments are unclear, leaving the student wondering what is being asked of them. Some of the code used in the lectures does not work in the homework assignments, particularly the date functions. Week 4 of the course was particularly poor, and it was an endurance test to complete it. The final assignment, which is supposed to take 1 hour, took over a day, in part because the poor directions provided. On more than one question, I was not sure what the instructor was looking for.

The final downside is Coursera itself--the discussion boards are a useless mess. They are full of people begging other students to grade their assignments, with little actual discussion of the course material. If you are looking for help understanding something, look elsewhere; you will not find it in the discussion boards. Coursera needs to fix this mess.

In short, I can't understand how this course has an average rating of 4.5. I would not recommend it. There have to be better introductory SQL courses out there.

By Thibaut C

Mar 8, 2023

What this course does well is to embed the technical content in a larger business perspective to make people think before they code, which would ultimately prove useful in professional life.

However, the technical part – logically the most important for an SQL course – is really insufficient. The biggest pain point is that the course, unlike other courses teaching code or equivalent (e.g. C++, Excel), does not provide any exercise walkthrough. No need to mention it, in coding, exercise corrections are fundamental to help people understand the practical aspects of what they have juste learned. After one passes a quizz, one does not even get to view the right codes and an explanation – one just sees the grading and which answers were correct/false –, which is really a pain point. Having corrected exercise is a minimum one would be expecting when paying a subscription to follow such a course on Coursera. At least, the course could give external sources for exercises for each part.

Additionally, the videos themselves could sometimes be clearer and I have noticed some mistakes– small, but still confusing when one tries to replicate in exercices that come later – in the skeleton queries that are given in the videos.

All in all, what you are offered in this course unfortunately does not match the level of many other code courses available on Coursera (at least the ones I have already done).

By Ben T

Dec 12, 2021

Really bad. I'm trying to be fair here, and I understand that there are reasons the instructors made some choices that they did, however:

-You can't teach a course designed for absolute beginners and not help us install a chosen software and explain the interface. I felt SO LOST trying to download SQLite on my own, and then find out the instructor chose to teach a software with NO USER INTERFACE from the download. Why would anyone chose SQLite as the software FOR A COMPLETE BEGINNER: I have no idea. I ended up using a different course (see below) and used MySQL as my software (free, great user interface, not so intimidating for a beginner.

-I can't stress this enough: THIS IS A THEORETICAL COURSE. There is no videos in which the instructor has an SQL software open and you code along with them. IF THAT'S WHAT YOU WANT go to "Programming with Mosh." The way that this course works is, she just talks about SQL: you never are given a database from which to query / retrieve / test your programming. Like, how is this even a course if you're not at least providing some sample data to work with?

I'm really disappointed in Coursera: I've completed two specializations here already, really enjoyed each and had no desire to leave the website, but after this I'm going to be much more careful and looking at other websites like Udemy.

By Drupad R

Dec 26, 2022

Why are you introducing so much theory initially for a new user who cannot contextualize the meaning of it? I'm encountering things that I do not fully understand (e.g., JOINS, subsets, handling complex queries - lesson: Creating temporary tables), when I have not even written my first query? That information is useless in this moment, and much less retained.

There's a principle in education called "competence before comprehension". I need to be able to try new things, findout what is inefficient, develop inferences and conclusions on my own. Telling someone the importance of a primary key is not helpful than showing in a database what a particular primary key is and why it was chosen. The learner can come to the conclusion on its own about why it needs to be unique, how to choose it and why it cannot be a null.

Bottom line: You cannot keep on layering new concepts without first writing a single line of query. You learn the syntax and develop from the failures. You're constantly talking about how to bake a cake, differences between a carrot cake and red velvet cake, talking about different frosting types, showing pictures of the final cake, meanwhile I have not even made a cupcake yet, forget about red velvet.