Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
LM
Mar 10, 2020
Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
AA
Dec 9, 2021
Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course. I鈥 appreciate the coordinators in making it possible. Thank you.
2401 - 2425 of 3,080 Reviews for Data Analysis with Python
By 脥sis S C
鈥Nov 22, 2020
The course is well organized and the content is presented is an accessible manner. Exercises could be more challenging and cumulative to help increase retention.
By Eliseo B F
鈥Feb 11, 2020
Most of the course is very easy to understand, although the exercises in the notebook can become complex, the exercises do not always run and must be done again.
By Harshit T
鈥Sep 22, 2018
Fun course! Lots of interesting content. It could've been more interesting and challenging with addition of a couple of marked assignments or a capstone project!
By Rebecca L
鈥Jan 4, 2022
The course material is great enough for a beginner. However, some of the presentation method is confusing. The narrator also seems like a laymen for the course.
By Neil A
鈥Jan 31, 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.
By Shivam C
鈥Jun 3, 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 糖心vlog官网观看
By Sebasti谩n M
鈥Apr 23, 2020
Muy buen curso, por mejorar: varios errores en los talleres y tambi茅n no fue posible ingresar a estos durante varios d铆as lo cual atras贸 el proceso de estudio.
By Osagie A
鈥Dec 22, 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.
By Kedharnath A
鈥Apr 15, 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.
By Manoj S
鈥Mar 10, 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
By Andr茅s P
鈥Jan 31, 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.
By Ricardo R O
鈥Oct 14, 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.
By Faizan A S
鈥Dec 2, 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.
By SOUVIK B
鈥Aug 31, 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.
By Sohan N
鈥Jun 26, 2023
One of the difficult courses among other other data analyst course. But the hands on labs in this course are the best tools to understand the concepts !!
By Sree 喟
鈥Jan 5, 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.
By Guilherme V
鈥Jul 4, 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..
By Katarina S
鈥Mar 22, 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.
By Shayan k
鈥Sep 13, 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.
By Frank M
鈥Aug 31, 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.
By Wenyu X
鈥Apr 3, 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
By Maksym S
鈥Sep 4, 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
By BINAY K
鈥Jul 6, 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.
By sergio c c
鈥Jun 20, 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.
By Aurangazeeb A K
鈥Oct 13, 2019
A very interesting and easy course. Anyone can catch up with big concepts with little effort. Thank you 糖心vlog官网观看 and IBM for this wonderful course.