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Quality Score

Content Quality
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Video Quality
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Qualified Instructor
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Overall Score : 94 / 100

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Course Description

Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.No prior knowledge of databases, SQL, Python, or programming is required.Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

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Instructor Details

Rav Ahuja

Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data Science, Cloud and Blockchain. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Reviews

4.7

487 total reviews

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By Mohamed H I on 28-Jul-18

If you are located outside USA or Canada, don't take this course. Because IBM cloud DB2 will not give you free account to do the lab exercises. Otherwise you have to pay 202$ to get an account. I didn't continued the course due to this issue.

By Michael K on 21-Apr-19

This course is more about IBM roping you into using a bloated cloud ecosystem, than it is about teaching you SQL. You will only learn DB2 stuff, and only through their cloud dashboard. This entire specialization is disappointing, but if you've made it this far, masochism may carry you through it.

By SNEHAL B on 23-May-19

The course teaches SQL quite well. But it doesn't teach and make practice about the connection to a database and use of sql magic. Hence, its very frustrating to understand the significance of '%sql' in a Final Assignment review. I think a lot of students are facing the same problem. Hence, it feels like- Final assignment is to check whether we can connect to the database, rather than checking our subject knowledge on SQL.

By Zhu L on 21-Mar-19

I would've given a five-star rating gladly, if it weren't for the terrible user experience of IBM DB2 Console, which wasted 4 hours of my time trying to load three small csv files into database tables.Apart from this "blocker bug", the course is well-organized and worth the price.

By aniket c on 28-Jan-19

No live examples, no tutorial on how to navigate Db2 cloud. Maybe I was expecting too much; disappointed.

By Maria on 31-Jan-19

Only one star and I think it does not deserve it. On week 3 the assignment ask you to establish a connection with database and because It gives me an error for more than 3 weeks, I decided to use Forums. After a couple of dozen messages requesting for help, I received only 2 answers from the professor:First: "Go to week 3"Second: " Idon't see any attachment"I have sent so many screenshots that it is ridiculous. So If you find yourself unable to connect to the database and it gives you a constant error; my suggestion is PRAY!. Please, do not cry like me in desperation after a month. Just PRAY. I think it could work... someday

By Saurabh M K on 19-Mar-19

Horrible experience. The course is not updated. The ibm cloud function doesnt work at all. There are hardly any videos. Most of the content is just theory which you can read from anywhere. Dont waste your money.

By Jody A K on 30-Nov-18

Overall good course but a few typos and unclear instructions, mostly with the labs and our own 'user specific" DB2 specs which were needed for the 1st and 2nd lab - yet, clear instructions for doing so were posted several labs afterward. Labeling of individual labs (their titles/ filenames, when opened in Jupyter notebooks, did not correspond with the actual weeks in the course that the should have - wks 2 were called wks 4 and wks 3 were called wks 6) That made it a bit confusing at times. They appear to have been from a different course or earlier revision. Maybe revisit and revise this course soon for better flow. Also, please check the comments/discussion boards and address those concerns that are repeatedly coming up. Quite a few more students than just myself were stumped or confused over the same issues. Thank you.

By Sumit M on 29-Mar-19

In case IBMER's fails to have DB console lite access, its difficult to complete the assessments, hence there should be other alternative to practice it.

By Kshitij P on 17-Mar-19

Although the material was clear and concise, working with IBM Db2 Cloud was a headache due to its unresponsiveness

By Derek A on 27-Apr-19

No videos for week 2, sub-queries were confusing and questions 9 and 10 on final project are very 'vague' and 'confusing' with asking questions about Area(s) when in examples and previous course work we were taught to use group by, but correct answers did not use group by.

By Pranay C on 26-May-19

This course teaches you the basics of SQL completely unrelated to Data Science. SQL is not mentioned in any further courses in the specialization. Could have very well skipped this course from the specialization. There was not even a single assignment that involved both SQL and Data Science.