The course is excellent for freshers point of view. I had no knowledge of SQL before this course and now I have understood everything. The labs are great, much better than the videos. also the assignments are really great from the learner's point of view.

Muy bueno y completo, se integra los conocimientos de modulos anteriores y se tiene un buen reforzamiento de SQL.

Asimismo, el usar el Skill Network Labs junto con el IBM Watson Studio y el servicio IBM DB2 on Cloud es una gran experiencia de aprendizaje.

This course covers all required basic of SQL. Although I was aware of basics but I leaned connection to database from Python. Access data using various libraries in Python. I really recommend everyone to take this course to start with Database in Python.

Please try to cover all scenario using one database with multiple tables, now each topic has different databases. It is difficult to take quiz and understanding the examples in the lessons. Moreover include db package with more explanation and examples.

There are a large number of practical examples which reinforce the theory thought in the video lectures. Would highly recommened doing the optional parts of this course as well as it will benefit the person taking the course. All in all a great course.

This is a very helpful course that provided me many chances to practice. The hands on practices are mostly on IBM DB2, which might be a little bit different than other DBMS. But that's not a problem as you still have the options to try different ways.

Once again, very great course from IBM. I am very glad to be part of this specialization- IBM Data Analyst. I was thinking that sql techniques are my top skills, but that is not completely true. The course gave me a lot of additional info. Thank you.

This course opened the door to begin my learning in Python for databases and showed me the kind of things we can achieve and of course we need to keep on practicing and I will thank the team in Coursera, IBM and everybody involved in this course.

Muy útil el contenido tanto teórico como práctico, me hizo recordar los principales conceptos de SQL que con el tiempo había olvidado. Los laboratorios en Jupyter refuerzan muy bien la parte práctica, con variados ejemplos y problemas a resolver.

This a very practical course to learn the job-ready skills of a data analyst.

It has all the necessary ingredients in its curriculum to get one started data analysis role. I personally find it challenging and worthy of the time and money demands.

A healthy mix of theory and practical work. The inclusion of Bonus Module was the icing on the cake for people interested in exploring more. All in all, a perfect fit in the middle of the journey for IBM Data Science Professional Certification.

The course is very well structured with hands-on practice and real life databases. The course starts with basic skills and evolves into combining databases, so it was very useful as a foundation for further development. I definitely recommend.

A good and elaborate course for beginners.

Hands on lab assignments are better than most of the courses and Mr. Rav Ahuja and team have been spot on in covering the core of the topic.

A great stepping stone to start off data science using SQL

This had some great overviews of using SQL with Python and also got me to connect with an external database. I don't have a lot of SQL experience, so some of this way review for me, so I can't speak to someone that is less familiar with SQL.

I am very happy that I have completed this course. I find this course useful for office needs, all the sessions were very interactive, meaningful and easy to understand. Solving real world problem was fun and thoroughly enjoyed this course!

This is a very good introductory (and maybe even intermediate) course on SQL (with and without Python/Jupyter). I only miss more reading material to avoid going back to the videos - maybe the slides could be made available after each week.

This a very good course, it starts from basic and goes upto intermediate level. My feedback is - if it can cover more on data visualization then it will be great. Its 90% is on pl/sql , 10% is on visualization this ratio can be balanced.

I loved the training and the material as well. The only thing painful was doing the peer assignment, you need to take screenshot and then upload. It would have been easier if we could have just click on the Submit in the juypter notebook.

Awesome course to gain practical knowledge of using databases from the cloud with a jupiter notebook. The course was really helpful and helped to gain an overview. An increased thirst to have better knowledge/grip on the user perspective.

Everything was well-taught with examples and labs. The quiz was created based on videos and labs, and the final project gave me a chance to revise everything. Overall, a 10/10 Course. Loved it. Thank you, IBM, staff members and my peers.

While this course is a demanding one, it is also quite interesting and well loaded with deep knowledge. I enjoyed every bit of it and I did not mind the time I had to keep up late some nights running Jupyter Notebook and querying data.

I had a challenging but fulfilling and wonderful experience in this course. Thank you so much, Coursera for helping me finished this skills. I gained so much confidence in SQL Db2 management and Python access. More power to your team!

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

This is a very complete course for building fundamental skills with SQL. I've really enjoyed the numerous hands-on practice sections which solidify the knowledge from the lectures. Plus the free-trial bonus for IBM DB2 cloud service!

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great