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!
The lessons were short and easy to follow, providing all the basics as well as a few more advanced topics, to get student quickly up-to-speed on databases and SQL and their application in D/S realm.
автор: Ajith R•
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.
автор: Himesh K•
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.
автор: Damilola O•
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.
автор: Jafed E G•
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
автор: Diego M•
I had no experience with SQL at all. This course helped a lot in understanding many details about RDBMS.
I can now do many useful queries and have a head start when start to read a RDBMS book to deep my knowledge!
автор: 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!
автор: 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
автор: 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.
автор: 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..
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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!
автор: Truong P H 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
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.