gud

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Fun

NA

oK

Ok

no

:)

ok

gj

:D

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G

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I

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.