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

4.6
stars
16,503 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

GC

Dec 29, 2022

Great course! A solid way to introduce a learner to programming in SQL!! Sadie is an amazing online instructor! Thank you to Sadie and UC Davis for offering this course through the Coursera platform!!

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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251 - 275 of 4,274 Reviews for SQL for Data Science

By Shariful I

Jul 22, 2022

I'm happy to share that I have taken the "SQL for Data Science" course on Coursera. I would thank Sadie St. LawrenceOpens in a new tab from the University of California, DavisOpens in a new tab, for her excellent instruction and CourseraOpens in a new tab providing the opportunity to obtain international certification for people worldwide.

By Charlie A

Jul 16, 2023

Loved how there were code blocks on the browser. The quizzes were the perfect level of difficulty, decently challenging and I feel as if they really reinforced what was taught in the videos. The final assignment was also a great way of assessing what was learned throughout the course.

By CAIO C C

Jan 5, 2022

This course is amazing. I have never get into SQL before and after the course I feel that I know way better now. It's a great start for people that never learned SQL before. Now, my next step is to do more SQL courses to be better prepared to become a data scientist in the near future.

By Diego R G

Feb 24, 2020

I took another Data Science course from Michigan and it was horrible! I was concerned about going into this course, but it completely regained my faith in MOOCs and Coursera in general. This is a great course without question. Take your time on each assignment and you will learn a lot!

By Rick E

Mar 31, 2022

I really enjoyed the content and pave of this course. I am brand new to SQL, and this course has given me the confidence to look at a query and not be freaked out :) I am confdent that I can now write and execute basic queries and understand the results after completing this course.

By SIDDHI R K

Sep 1, 2020

The instructor has explained the topics with so ease and lots of examples. The thing I loved about this course is the practice questions provided. They are well-tailored and helped me to understand the concepts well. A must course if you are looking to start learning SQL from scratch.

By Mithila H

Jul 22, 2020

It was a good start to the basics of SQL. I would request for inclusion of more sessions/videos in this course. These videos can enable students to gain deeper knowledge of SQL. Also, I request one to one sessions with the mentor. This will help in clarification of queries/doubts.

By Anthony P G

May 15, 2021

This covers the right fundamentals especially for those who are new in SQL. This has the right recipe of how to profile the data right from the beginning. I encourage those who are wanting to upskill their analytics skills or any one with no experience with SQL to grab this course.

By Jason L

Apr 30, 2019

So far this course is great for introductory classes. I took IBM's SQL for Data Science and I had a bad experience. Here the course is very well structured with clear concepts at a well-taught speed. I highly recommend it. So far 5 stars. I'll update this review once I'm fully done

By Jeff M

Oct 21, 2020

SQL for Data Science is an excellent course for beginners or data professionals looking for an extensive refresher. The instructor Sadie St. Lawrence did an outstanding job teaching the material, keeping a steady pace, and motivating the students to learn and finish the materials.

By mark w

Dec 17, 2017

I enjoyed the course and learned a basic understanding of SQL. The final project is very difficult and seems geared more towards advanced SQL users. If this is your first exposure to SQL you will find the final project frustrating and you will need to refer to other texts to t

By Brenton M

May 13, 2022

I felt this was a great inteoductory course for me. The content was well organized and presented. I would've liked to see the different tables coming together rather than just the SQL query (especially when learning about the different joins). Overall really good. Thank you!

By jon h

Jun 17, 2022

Course was great. Video's short, easy to follow. Quizzes were challenging but doable. Final project very challenging. Only suggestion, would be nice to work in an actual database. Was frustrating working in the tiny box provided to run sql queries & output was very limited.

By Stat G

Sep 21, 2022

I thought that this course would be really basic but covered topics from beginner to intermediate, and I feel that I learned a lot during this course. It is not the typical course in which you learn really basic stuff and cannot use it in your work. I really reccommend it!

By Aman K S H

Mar 28, 2022

The course is well organised and the quiz along with the coding questions tests one's knowledge very nicely. This course provides a indepth revision to the people already knowing SQL . To me this course provided a good revision and also helped me to learn some new concepts.

By Rainier G T

Aug 26, 2020

This course was really intensive and the course material is high-quality. The discussion and lectures were really helpful and straightforward. By far, the best course I had for learning SQL. I recommend this to everyone wanting to get familiar or diving into SQL as a start.

By Sergio G C

Dec 12, 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.

By Rashi S

Jul 31, 2019

I liked the course and the way it was taught. Just a suggestion if possible for coding from the starting of the module till the end that is for the complete lectures practice questions can be given so that entire coding can be practiced. Thankyou for the great opportunity.

By Abraham Q

May 27, 2023

It is a good course to introduce you to SQL, it is for data science so I feel I also have to know more about how to create tables and organize them in order to make a better job. All in all, I have learn variety of queries and I have made pretty useful classnotes. Thanks.

By Li F

Aug 5, 2020

The MCQ in between lectures is extremely helpful in keeping up to the content. I also especially enjoy the coding questions that are really practical in helping learners understand and execute the knowledge covered in the lecture. Overall great presentation and structure!

By Angelos S

Jan 4, 2020

It is a well structured and detailed course in terms of data analysis, SQL principles and differences between relational models (ER) and NoSQL. The difficulty level is between novice and intermediate and the instructor is very helpful and analytical. Overall recommended.

By Aurora S P

Nov 4, 2019

I believe this course is perfect to have a first approach towards SQL. Moreover I like how it relates to Data Scientists' context, and how it helps to understand Data Scientist's role and mindset. In general it was very useful and easy to follow lessons given by Sadie!

By Tina M

Jan 11, 2020

This was a great course, it provided me with great examples not just in the Instructor notes but in the side reading material that I have taken and created a review reference folder for future review. This is a great class and and I am glad it is apart of the program.

By Nathen M

May 29, 2022

Best course I've taken on Coursera. Everything is so well done. Best learning experience when it comes to SQL when compared to all the googleing, youtubeing, other cources I've taken. Made me feel like I can actually take these skills to the bank. Thank you so much!

By Юдаков Е О

Jun 21, 2021

Если ты можешь перевести какой-нибудь технический текст = БЕРИ и не думай.

Параллельно смотрел лекции, тем самым дополнял знания полученным на курсе.

Иногда было сложно понять, что конкретно от тебя хочет программа, но можно несколько раз перечитать и все будет окей.