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.
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 Faizan A S•
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•
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•
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•
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•
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.
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•
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•
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•
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•
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•
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.
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•
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•
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 Sifat S•
I find this course useful. But some of the contents are little advanced all of a sudden and feels some important explanations are not covered.
por Venkatesh E•
Through out the course i have learned alot like data visualisation mainly.I think i have completed successfully basics for machine learning.
por Randall G•
I feel like this section needs some more hands on labs. Great topic over view and application. Not to much in the way of math unfortunately.
por Saurabh A•
Good course for beginners. Can introduce little more concepts such as multi-collinearity, model accuracy etc to make it even more complete.
por Shreyas S•
It was a good course overall. Would prefer explanations at a slower pace and more examples for each of the techniques explained.
Content : 5/5
Labs : 5/5
Final Assignment : 3/5 (It was quite easy to complete as there we instructions and code already written for you).
por Jonathan B•
Great material. Very comprehensive. The only knock is sometimes the slides, notebooks, and quizes have typos or are not super-organized.
por Aurelio L G•
Una visión muy amplia con acercamiento a una amplia variedad de herramientas. Faltan más ejemplos de uso, ejercicios y casos prácticos.
por Subhasish D•
The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge
por William O•
One the greatest course of Data Analysis. The info given about statistics is very important and accurate.
Thank you to the instructors.
por Matthew A•
The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.