19 de abr de 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.
5 de mai de 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
por Neil A•
30 de jan de 2022
Great content, but awkward, untimely popping of questions during video lectures, very annoying. Labs are very useful and productive, but videos are too short.
por Shivam C•
3 de jun de 2020
This Course was very informative and beneficial and conceptual too, being newbie i personally feel that this course has taught me alot. Thanks to team Coursera
por Sebastián M•
22 de abr de 2020
Muy buen curso, por mejorar: varios errores en los talleres y también no fue posible ingresar a estos durante varios días lo cual atrasó el proceso de estudio.
por Osagie A•
22 de dez de 2020
I love how engaging the course is with its labs and how it is well-packaged in such a manner that encourages beginners to learn... keep up the good work guys.
por Kedharnath A•
15 de abr de 2019
I found this module very difficult to understand as it was loaded with high end concepts and coding. Might have to redo this course to understand even better.
por Manoj S•
9 de mar de 2019
Course content is very good but I feel it can be more improved if the training is provided at slower pace. Also the examples should be in detail. Overall good
por Andrés C P A•
30 de jan de 2020
I think it would be good if the units had activities to deliver mandatory since that would allow to strengthen the knowledge acquired. Thanks for the course.
por Ricardo R O•
13 de out de 2021
This course is too complete, but have too many questions between videos, its feels like a brake every time, I think is more easer at the end of the videos.
por Faizan A S•
1 de dez de 2019
The course content is really great and method of teaching is very specific .Much details very covered during the course and really i gained a lot from this.
por SOUVIK B•
31 de ago de 2018
Good course if you are beginning data science. You don't need much of python experience but will be better to have if you want to quickly finish the course.
por Sreelatha V•
5 de jan de 2020
Very detailed and guided course that provides an overview of data analysis in Python with short assignments after each video and interesting lab courses.
por Guilherme V•
3 de jul de 2020
insufficient statistic, as the name of the course is Data Analysis, i would expect more classes about the different distributions of data, pdf and pmf..
por Katarina S•
22 de mar de 2020
One of the best courses in the IBM Data Science Specialisation.
I would like to have more quiz questions and opportunities to practise what was covered.
por Shayan K•
12 de set de 2021
There must be a slightly high level of Quiz, assignment and Project and must have to add some more advanced concepts about statistics and probability.
30 de ago de 2019
I would have given it 5 stars but they barely went over polynomial regressions and pipelines and it was a major portion of the end of class assignment.
por Wenyu X•
2 de abr de 2019
pros: well organized, clearly explained each step, useful
cons: frequent errors in both videos and the lab, especially on the questions part in the lab
por Maksym S•
3 de set de 2019
Final exam was too complicated. I have 2 masters degree and for me it was clear, but for other it is too complicated.
P.S. it is my personal opinion
por BINAY K•
6 de jul de 2019
Course is good, but in this short course it is covering lot of thing thatswhy lot of topics are just touched intead of going little bit deep into it.
por Sergio F C C•
20 de jun de 2019
You learn a lot, good intro to data science with python. Labs have typos and can be confusing at times though, the only thing that could be improved.
por Aurangazeeb A K•
13 de out de 2019
A very interesting and easy course. Anyone can catch up with big concepts with little effort. Thank you Coursera and IBM for this wonderful course.
2 de set de 2019
Course is nicely designed and pare explained well.
I would have liked to see the steps along with the final answer to the peer assignment questions.
por zara c•
31 de out de 2020
Very good course. I wish there were more hands on exercises. We only had a chance to practice in one lab per module; otherwise, I learned a lot.
por Ponciano R•
26 de fev de 2019
Great course to start learning python applied to analysis, but after this, I prefer to use R. Less complicated and can obtain the same results.
por Gourav K•
31 de mai de 2022
The course material is good. However, I found the videos a bit fast and the automated audio speech is not so good. The lab sessions are great.