I actually liked this course. It introduces you to all the basic SQL commands (select, aggregate functions (min, max, sum, avg), joins etc). The labs enable you to create tables in the DB2 database (=the IBM database) and query them from a Jupyter Notebook. I have my own Jupyter Notebook installed , however, you can run and practice queries on the IBM environment as well. Then I liked that in the final assignment in week 5, the last problem 7 was a bit challenging ( I spent some 2 hours on this problem alone! searching the internet and the course forum. As a result, I did memorise how the INNER JOIN command works!!). The rest of the problems really had the same simple commands as in the labs. Finally, I received a helpful response from Rav Ahuja, the tutor of this course, the following day after I posted my question. I liked that rather than giving me a ready command, he pointed me to a general solution to this problem (in case I encounter the same problem again). Overall, I'm impressed with this course.

Hint: please save your log in credentials and the link to Dashboard-IBM Cloud from Lab1/week 1, you'll need to use them many times in other labs and the final assignment!

I really enjoyed this course! I saw negative reviews, but I still decided to pass it. I was attracted to this course by the fact that here, in modules 4 and 5, a bundle of Python and SQL was studied. I am 100% satisfied. I really liked the presentation of the material on SQL, and also liked the real experience of interacting with a database in the cloud. Yes, this will be a specific IBM cloud DB2, but after understanding the specifics of working with it, you can switch to the API of another database and another system.

The passage was not without technical difficulties, but I would warn you about 2 points - when registering for IBM cloud, use the mail domain gmail.com, and 2 - when loading tables in db2, do not pay attention to error messages, but rather check whether the tables were loaded manually. Otherwise, there were no problems.

For me, this was the best sql course I ever took. Although perhaps I liked it also because I already know something about SQL and work with Python, so it really suited me.

The Databases and SQL for Data Science with Python course exceeded my expectations! It's incredibly well-structured, making it easy to follow and understand. The instructor's explanations are clear and engaging. From the basics to advanced concepts, the course covers everything comprehensively.

The hands-on exercises and practical examples were invaluable. They helped me apply my knowledge in real-world scenarios, boosting my confidence. The course materials are comprehensive and organized, serving as excellent references for future use.

If you're interested in mastering databases and SQL for data science with Python, this course is a must! It strikes the perfect balance between theory and practical implementation, making it suitable for aspiring data scientists. Highly recommended!

Kudos to the instructor and the course creators for an exceptional learning experience!

Though compact, the course doesn't seem to miss out anything on Databases and SQL as far as a new programmer like me is concerned. The instructor is awesome and so are the videos, readings and labs. Nowhere you would feel that prior experience with programming is a must to assimilate the concepts taught in the course.

Programming is a hurdle for many who aspire to be a Data Scientist. So this course would definitely provide a solid ground to people new to programming but gritty enough to be a Data Scientist and would help them in realizing their dream. The course is well desined, and specially well taught and the team would have really broken a sweat to make this course what it is. Loved it!

The "Databases and SQL for Data Science with Python" course, presented by IBM on Coursera, represents an outstanding opportunity for learners to delve into the essential principles underlying databases and SQL in the context of data science applications. The course offers a meticulously structured curriculum that delivers a lucid and succinct exposition on SQL querying and database administration utilizing Python. By incorporating engaging hands-on exercises and real-world projects, this program fosters a robust understanding and mastery of database concepts, making it a compelling choice for aspiring data scientists seeking to elevate their proficiency in this domain.

The 'Databases and SQL for Data Science with Python' course offers an excellent foundation in SQL and Python for data analysis. The course material is organized well, striking a balance between theoretical ideas and practical implementations. The hands-on Python and SQLite coding exercises helped me stay focused throughout the class and solidify what I had learned. The lecturer provides clear explanations of difficult concepts like joins and subqueries. I was comfortable using SQL for data science projects at the conclusion of the program. I think this course is a must for everyone who wants to learn how to deal with databases in Python.

Describe SQL and Database, Explain the syntax of basic SQL statements, composed and executed CREATE TABLE, ALTER, DROP, and TRUNCATE statements hands-on on a live database. Demonstrated how to write sub-queries and nested select. Demonstrated how to perform simplified database access from Python using SQL magic, how to connect to a database from a Jupyter notebook, use of invoking SQL queries from Jupyter notebooks using Python. Lastly the Peer-Graded assignment test all my knowledge which I gained through this course.

Thank you IBM and Coursera for this beautiful course.

Well organized and executed class, I especially appreciated the hands on labs and that there were options for the hands on labs for those who have been experiencing issues accessing the IBM Cloud environments.

The only enhancements I woould suggest are to provide either written course documents or reference to documents that are searchable, and also some topics on debugging techniques. Of course, we can find this through query on the internet, but I think it is a useful topic for anyone learining coding techniques.

This is one of the better IBM courses, but we warned. To get the most of the module, you will need to collect, research, and gather additional information from all over the web. The IBM DB2 cloud site has many problems, such as non-compatible libraries (SQL Alchemy), DB2 SQL commands with cryptic and often unique syntax not mentioned in the course, and other delightful nightmares of the programming world. Sadly, it's getting over these hurdles what will make you a database champ more than the course itself.

Hello! Thank you for this course. I already had the knowledge of SQL, but I was interested in videos, exercises and repeating the basic material. And some things were new for me. I think you can suplement this course with the additional information of SQL language, who wants to learn more advantages of DB and DBMS or share links to additional topics.

Note: there is no information about the different types of JOIN, UNION and CTE (Common Table Expressions). In my opinion, this is a very useful skill.

The course syllabus has broad coverage. For data analysis it focuses on Python & sqlite3 and IBM dB2 (optional). It spends sufficient time on analysis of real-world datasets using Python & SQL. The assignments under this course were rigorous enough to help me practice and clarify my understanding. Overall my experience has been satisfactory and rewarding. I can confidently recommend taking this course to anyone who wants to learn SQL syntax and how to use it for data analysis. Thank you

This course is very helpful to learn SQL fundamentals and to implement it in IBM cloud platform.

I am belonging to a poor family and i was very much interested to learn database management system and Coursera provided me the perfect platform to learn Databases and SQL for Data Science.

I would recommend all of you people who is interested to learn SQL to start with this course because it provide depth fundamental of SQL.

Thank you for providing an perfect platform to learn SQL.

Thank you so much for the fantastic course! I truly appreciated your dedication and the way you presented the material, making complex topics accessible and engaging. Your passion for teaching and your commitment to student success were evident throughout the course, and it made a significant difference in my learning experience. I feel more confident and prepared in my field thanks to your guidance and support. Thank you once again for such a valuable and enjoyable course!

Although I find the lab work is challenging, I often find myself have to refer back to the material to be able to complete them. That's not necessarily a bad thing, though, since they does help build good foundational knowledge for SQL and thorough understanding of the subjects.

Thankfully (for me), the exams and quizzes are not nearly as hard as the quizzes, so I can still manage to pull through with ease.

100% would recommend this course to anyone learning SQL.

Course material and teachers have delivered the information very clearly and made sure it is well understood through lecture videos and documented python-notebooks, with hints and solutions for every problem in the exercise.

In the final assignment the snapshot datasets were inaccessible and were throwing a HTTP 404 error. Nevertheless, thanks for thinking ahead and providing the source link, which made it easier to download data and finish the course.

I had never worked in SQL, so this course definitely provided me a good grounding on database handling. I do not have too much experience with pandas library of python, and this course provided me some hints on deepening my understanding in pandas, and the logical connection between pandas and SQL. It was also good to see the techniques which can be applied in Jupyter notebook or in python code itself to use SQL commands.

Really good course, maybe one thing which I'd like to change, is to add some detailed explanations on SQL Magic and process of connecting to your DB2 on Cloud, because unfortunatelly I couldn't connect to it and was pushed to work in Jupyter notebook. As overall I liked course and reccomend to also finish an Honor course, because this course explains a lot of useful tools, which help you to minimaze your queries length.

"I recently completed the SQL course on Coursera designed by IBM, and it was an outstanding learning experience. The course was well-structured, with clear explanations and practical exercises that helped solidify my understanding of SQL. From basic queries to more advanced concepts, the content was thorough and engaging. I highly recommend this course to anyone looking to build or enhance their SQL skills! with Python"

Out of all the previous courses I've done in the Data Analyst Professional Certificate by IBM, this one feels the most balanced and interesting in the delivery.

There were a few technical issues during the delivery, particularly with the hands-on labs, and for that I recommend to be comfortable using Watson, get familiar with db2 and other forms of SQL, in case you have to get around them. Also the Forums help.

For someone who had learnt SQL back in High School, this course provided me valuable information on some of the more advanced topics and gave an insight of working with real world databases.The basics are taught from scratch and the use of database on cloud made the learning more simpler.So if you want to learn about data science i'd recommend this course and also to those who have some basic knowledge.

This course from IBM does a great job bringing all the basics of SQL and concepts around Relational Databases.

And since this is from IBM, which offers Cloud Computing services, the course involves some simple basics of using Cloud services to create databases and interact with them.

SQL language

Relational Database Concepts

Basic Python code

Cloud Services

All of these are all helpful from this course.

Best class so far in the IBM Data Science Cert program. Well done and really get to working with SQL for data science usage. Has a good intro on SQL and the essentials commands you'll need and then dives into working with datasets and writing SQL statements. Good pacing and the lectures get to the heart of each topic. Labs do a great job of following up on that. Make more classes like this one.

For a beginner it is an excellent course. Step by step hands on examples help one to negotiate and learn patiently. Now I have much better understanding of why DBMS is so critical and how one has to use the cloud DBMS remotely. How the tables are created and the significance of Primary and Secondary key. How the queries are run. How to do the joins to handle data from multiple tables.

Its a very good course. It has both video lectures & hands on Lab simultaneously make learning effective & boosts confidence of a learner. Some issues with lab like unavailability of them due to technical issues makes thing somewhat inconvenient. But coming to learning, course is very good. I would like to thank the instructor & coursera also to provide such opportunity for students.

I was basically a newbie coming into this course. I was not great at SQL, and relied heavily upon others to handle writing queries for my reporting. Now, I feel like I can handle quite a lot, and can logically piece together anything I don't yet know. The class covers all of the core fundamentals through joins, and even covers ibm_db api to run queries using Python. Excellent course.