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As with the third course in the specialization, the lectures give just enough to allow students to independently advance their learning outside the course. To be honest, I think the instructor covers too much ground in too short a time for most students to gain a lot of understanding. Furthermore, the assignments are quite straightforward requiring minimal adaptation of the supplied code.

The module on Object Orientated Programming is, frankly, a waste to time and a distraction. There are no practical exercises and the material is run through at a pace that makes it unlikely that anyone without prior knowledge would make any sense of it. What is more, there is no reference to, or use of, OOP at any other point in the course or specialization. The time would have been better spent in expanding the modules on the core topics of using databases with Python.

On the positive side, the external tools on Dr Chuck's own website seem to work as expected and integrate smoothly with Coursera. The forums also remain supportive, although, as with most courses, far less active than on the old platform.

I still rate this as a 4 star (albeit a 4-) as Dr Chuck is such an engaging instructor and there is still a good progression through the specialization. I would be more cautious if taking this as a standalone course.

I liked the course. As with the previous three courses, Dr. Severance does a great job presenting the material and explaining how the code works. I felt that the assignments and the book were lacking a little bit:

1. The textbook needs to be updated to include the Object Oriented Programming section that is covered in Week 1.

2. There is no programming exercise for the OOP section, just a quiz.

3. There are no assignments in the textbook for Chapters 14 and 15. The examples of the code and how it works is awesome, though, which is a trade off of sorts.

4. The Chapter 14 programming assignments only require minimal programming in Python and/or SQL. I would have liked to do a little more programming.

5. Chapter 15 felt like it was shoved in at the end, and the assignment was really easy. I was hoping for a little more rigor on that one, also.

Overall, it was a good experience and I'm looking forward to finishing up this specialization when the Capstone is unlocked and becomes available.

4 of 5 in the series of Python for Everybody. You do not learn as much Pythin in this course, but apply it to scanning the web and gathering data. I am more for the scientific uses of Python and programming from scratch than what was taught in the course. Now I must write than many students enjoyed the course and learned something new. I took the first 3 in the series (btw it is recommend that you take the first 3 course before taking this particular one. Several of the HW forces you to use that prior knowledge. So don't rush through), and was able to walk away from those courses feeling a lot more comfortable with Python. This course not so much. But hey, in this course you see how Python can be applied and if you're into Data science it is a good introduction. I am stopping here and moving on to other coursera course. Not caring to do the capstone in this series. Regards.

Unfortunately, I'll have to rate this course 4 stars out of 5... The begining of this course was pretty boring, and that was fatal to grasp the attention of a lot of students, and the end was just way too easy for a course which is suppose to take concepts previously learned and apply them to the week. Literally to have 100% in the last assignment you only need to take some screenshots and that's it!!!

However, most of the course is incredibly good! It explains with excelence what SQL is, and how can we operate on databases with Python! The teacher s incredibly good and most of the assignments are great to practice was we have learned.

Therefore, I would sugest anyone doing the specialization to take this course, even though it will clearly see a difference in quality with the previous ones, because it will always be a good course with an excelent teacher behind it!

This course was a good overview of SQL and interfacing with SQL using Python. My biggest issue is that the assignments were far too straightforward. Although it is prefaced by Dr. Chuck that this course is designed to be a starting point for learning SQL - which it does a very good job - I think that increasing the difficulty of the assignments will help reinforce the topics covered. Although I easily completed all of the assignments, most of the work was pre-written code from the instructor that required trivial tweaking. Cannot fault Dr. Chucks enthusiasm for the topic, however, which was great and infectious...I will certainly be looking more into SQL in the future.

I think Chuck is easily one of the best instructors I have studied under and like the previous courses, he has been really good in this course as well; however, I think in the Week 5 lectures, he could have spent a bit more time to explain all the different concepts he has used/introduced in his programs, some of which he had explained previously but some of them are surely not covered before example the use codecs.open and when to use that and so on..there are other examples as well. Overall, the course is very well taught although the last assignment was just too easy and does not really test the knowledge and understanding of the subject.

I really like the intro accessing the web with two common API's namely Google location API and twitter API. But this course is falling a little bit short when introducing the relational database model as persistence technology only. Instead of providing an introduction in a SQL as special language I really would expect a comparison of different persistence approaches such as popular NoSQL vs standard relational model. However if accepting the focus on the relational model of this course, then I would expect some intro into OR mapping with SQL alchemy. After all regarding persistence part the course is not well balanced.

This is an extremely high level introduction to SQL and how to use DBs in data processing programs.

If you have no experience you will get a feeling and some basic idioms to apply, so it is a good start.

If, like me, you already have a good SQL knowledge but little Python knowledge you can quickly learn how to access DBs and just go through the videos to have an easy overview of interesting applications.

As in previous courses I appreciated Dr. Chuck relaxed exposition and some of his interviews with people I just had their names on my books, like Tannembaum.

Good course that introduces you to the very 101 of 101 basics of DB design, as well as the related libraries in Python. The assignments should be more rigorous and require more coding from a blank slate. Hence, I'd highly recommend that students take the time to reverse engineer, as well as read through and comment out the supplied code. Furthermore, there's an issue with the database design in one of the assignments that I point out in my code comments on github: https://github.com/rahulthewaffle/python_databases_severance/blob/master/week3/ex15-2.py

Helps you learn how to deal with database in python . SQLite is also taught and how to see into database.

How python programming can help you get the data using an API. How you can extract and clean data using

python. Not really for the beginners but the course was tried to make simple. The professor is awesome

i could say that. You do need help from outside for some of the topics like what is SQL? But a brief

about such topics is given too . Nice instructor and nice lectures too. A little tougher course and not for absolute beginner

The introduction of databases and integration with Python introduces a real-world application to this programming introduction. The content was informative, practical, and I will rely heavily on this course's content in the future. I did, however, find this course directed students more toward relying on existing code and tweaking it rather than thinking through the process and developing it from scratch. For this reason, I found this course to be a little weaker on delivery than the previous ones in the specialization.