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!
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
por CHUA W K•
This problem is excellent , i've totally no experience in programming but i still can success for the assignment ! be patient , re-watch all those videos , it will help you to understand the sequences and your assignment needed!
por Muhammad A•
Although I have previous knowledge about SQL and databases, I have worked on Oracle 11g as well but by doing this course now i am able to connect IBM-db2 API with python. I have learned how to code in python to access databases
por Nikhil J•
Definitely recommended. Great course, good basics, and assignments. But, IBM Cloud throws random errors sometimes when you try to open the db2 console (402, 502, 404). Just refresh it multiple times. Should solve the problem.
por Anil k•
This is best platform to improve your skills, i got to much practical knowledge to work forward for my career. i would highly recommend everyone , who is reading this, go for it. You would thank me later for recommendation..
por Vladimir A•
This course has great technical support and good material. The lectures are informative and understandable. I first met such a quick feedback from the course technicians. It 's a great cloud lab experience. You 'll like it.
por Mukkesh G•
This course starts with the basics and gradually covers most of the topics in SQL. The hands-on lab exercises are extremely useful and give the learner a good command over practical applications of SQL+Python architecture.
por Chris A B•
I enjoyed learning about Data Science and the use of Cognitive Class Labs, IBM Watson Studio, IBM Cloud, IBM DB2, Jupyter Notebooks and Python. I am looking forward to subscribing to the Professional Specialization next.
por Bhanu P E•
This is an excellent course covering end to end SQL and python/Jupytr notebook integration as this forms the basis of data import going forward. The Ungraded labs and Final assignments were really good hands on practice.
por Jesús G A S•
Probably the best course in the specialization thus far! Notebooks provided are invaluable to learn how to interface a jupyter notebook with IBM cloud. I had not found this information elsewhere in such a concise manner.
por Ashirwad S•
The course was well structured and elaborated. It was a combination of hands-on as well as lectures on essential concepts of Databases with knowledge on using IBM DB2 in IBM Cloud. This was a really helpful experience.
por Jiahui C•
A very comprehensive and introductory course in SQL and data science. If you have no background in SQL and interested in learning it, you should take this class. And the specialization that this course is in is useful.
por Alesia V•
This was a wonderful introductory course which got me inspired to embark on a SQL learning journey. I loved the practical real-life application of the study materials introduced in the course labs. Thank you IBM team!
por Truong G•
This course is exceedingly practical and knowledgeable of SQL commands, IBM cloud database Db2, visualization with python on Jupyter notebooks. Thanks so much for IBM, the instructor, Coursera for building this course
por Wang P•
I like the practice in this class. Playing with real data is so interesting.
SQL language is not so complicated itself and with enough practice I feel that I understand how to combine several queries in proper order.
por martin k•
This course was great, and fit exactly what I wanted the course to be, which focused more on an intermediate level for SQL users. Also, the focus on Python was greatly beneficially for me. Nothing bad to say. 5/5
por Azhan A•
Great Course, polished my skills on SQL. I must say it s a challenging course. I've previously completed SQL course but it also teaches you how to connect it with IBM cloud which is I think is a great initiative.
por Muhammad F D•
The only comment is that the usage of DB2 of IBM may not be available all the time. So, suggest if you can mention other tools that can be used locally on PC to help student to follow up and complete the tasks.
por Maksim M•
The most serious and closest to professional course I've taken on Coursera so far (out of about 20). Both fundamentals and real-life practical skills are taught in a plain and clear manner. The Labs are great.
Great course! I learned the basics of SQL. Wish there was a more in depth discussion of SQL and its capabilities, but I received a great base and it helped me remember everything I had forgotten from college.
por Abigail B•
Excellent introduction to SQL as well as using SQL within a Python environment to query data. Provides a solid background in basic database management and utility, as well as a good transition into analysis.
por Brian B•
Good hands-on practice with SQL in a Python and Data Science context. Covers the very basics of SQL, including relational database fundamentals plus DDL, and then builds to some decent challenging queries.
por Carlos A•
This course gave me all the basic knowledge of SQL that I should need for Data Science. It was so well explained that it even seems too easy. Thank you so much for this great opportunity to gain knowledge.
por kishore K•
One of the best practice oriented, well organized course in the Coursera. I would highly recommend it to my friend too. Awesome teaching and thank you so much IBM for keeping such an awesome expert tutors
por Jean C F M•
Learned a lot and offers a lot of real-world tips. I started this course as a beginner and couldn't be more thankful for this course for giving me a wider understanding of SQL and writing in the language.
por Anar A•
That was an amazing course that I really improved my programming skills for data science in Python as well as SQL databases. Really like practical parts of the course which most of the part is practical.