Apr 20, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
Jul 13, 2018
I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course
von Firat E•
Jun 04, 2019
It is really a good course, simple to understand and very complete. Thank you !
von Siddhartha S•
Jun 04, 2019
Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out
von Luis H•
Jun 04, 2019
I liked so much that I solve more short test because it helps me to remember information easily and guess it allowed me to perform better. It's the first time I get 100% three times in final tests of each week.
von Ted H•
Jun 06, 2019
Covers a lot of ground but the Python Labs are great at bringing everything together.
von Charles C•
Feb 05, 2019
Some mistakes/ typos in the exercises and slides, but great overall
von Rene P•
Mar 24, 2019
There could be links to functiones libraries in the lab for a fast check of a function if needed.
von William B L•
Mar 20, 2019
The techniques, methodologies, and tools presented here are essential parts of the data analysts tool box. The coverage was, in general, well done. I am glad I took this class, and look forward to the next.
That said, there were problems:
1) The meta parameter, Alfa (or is is Alpha) is never explained, except that it helps. To be useful, the student needs to know a bit more. Also, the spelling should be consistent between the training texts and the lab.
2) The lab needs maintenance to keep up with changes in the Python packages. I received warnings about using deprecated functions and values.
3) The text needs grammar/spelling checking, for example, the end of the course exam is labeled "Quizz"
von Vincent Z•
Mar 11, 2019
The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.
von Mahvash N•
Mar 05, 2019
Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.
I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.
von Shernice J•
Mar 30, 2019
Instead of having a lab after each topic, this course one lab per week encompassing all of the topics. Some might find that better than having smaller labs but to me the information was assimilated better when i did a lab right after the topic. That being said, you can open the lab first and follow along with/after each video. You just need to be mindful of what works best for you. Taking time to understand the code is a must and some more documentation would be helpful. I wasn't a beginner with Python and it took some time and work out what was happening at times.
von Yogish T G•
Mar 30, 2019
An assignment should have been included
von Nigel A R H•
Mar 14, 2019
Quizzes are too easy. No evaluation of actual code.
von Rebecca V•
Mar 05, 2019
Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.
Nov 20, 2018
Overall I benefitted the course material as a beginner in python and data analysis. The questions were too trivial but maybe that helped me remain engaged with the course and complete it in a short time frame. There were some bugs, typos and minor quality issues that did not really effect my overall experience.
von Sadanand B•
Feb 07, 2019
Seems like there are quite a few errors in the labs that confuse the heck out of a student. The labs need to be fixed else the material becomes useless.
von Andre L•
Mar 10, 2019
Lot of information, but offered in a very choppy manner. Was hard to follow, will need to review many many times
von Bhuvaneswari V•
Mar 09, 2019
The statistics background needed for the course need to be better explained. or at least reference to related learning materials to be given
von Katarina P•
Jun 27, 2019
Many typos in videos, stats explained on a very rudimentary way (and often inaccurate), Watson environment is awful as it takes ages for some simple regression plots to be made, it freezes and the interface is not user-friendly, yet we have to use it.
von Benjamin J•
Dec 01, 2018
many mistakes throughout
von stijn d b•
Dec 29, 2018
i was following nicely until week 4 but halfway there it got really difficult. To a point in week 5 when all i could do was copying code and adjusting it. I have no idea what i was doing, i totally lost the bigger picture. I'm sure i could never replicate any of it outside the course or explain what i learned.
von Polina S•
Jul 05, 2019
Thoroughly appreciate the effort to put this course together, however there are several problems (I think this is the worst quality course I've seen on Coursera so far .. or maybe all other ones have just been great!) -- a) the instructional videos contain many errors in both code syntax, and, worse, in logic; b) questions on Forums take a long time to be answered, and staff member who responds to most of them appears to be a bot/only provides vague general info; c) course material has ups and downs, for example Inferential Statistics are blazed through within 15-20 minutes, and there is very little discussion of, say, how to identify the distribution of your data, how to decide on parametric/non-parametric tests and so on.
von Sevak G•
Jul 02, 2019
HOW IS THIS COURSE BEFORE DATA VISUALIZATION??????????!!!!!!!!!!!!!!!!!!!!!!!???????????
von Eik U H•
Dec 12, 2018
It would be nice if teaching staff could correct notified errors in quizzes.
von Valerii P•
Nov 25, 2018
That was a great start for Data Analysis field's discovery!
von Bhuvana P K P•
Nov 24, 2018
Informative course which is easy to learn