21 de mai de 2020
Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.
2 de ago de 2020
Great course to learn the basics! The supplementary material in Jupyter notebooks is extremely valuable. Really appreciate the PhD students who took the time to explain even the simplest of codes :)
por Matthieu C D•
19 de abr de 2020
Excellent high level introduction, would have like the assessment to be more challenging. The additional materials are just amazing for most of them. The notebooks to practice are also excellent.
por Vu M D•
7 de mar de 2022
Good content but I dont like some assigment/assessment, especially the one asking to write a memorandum, which is totally not related to "Understanding and Visualizing Data with Python"
por Samuel B•
11 de out de 2019
Really enjoyed this course. Looking forward to the next part of the specialization. I thought the quality of the lectures was excellent and made the topic interesting and digestible
por Rohit K•
15 de mai de 2022
Great course to start with Statistics. Methods of data collection and their implications are explained in good detail. Good start with coding in Python visualizing data as well.
por Pradeep S B•
10 de mai de 2020
The course was slightly harder and longer than I had expected, but the statistics concepts were well explained. However, the coding was not as hands-on as I would have liked.
por Ragib S A•
11 de jul de 2020
To pursue your dream career in Data Science statistics is a must. And this course is one of the fun and easy to understand statistical courses I have found on Coursera.
por Christopher B•
4 de out de 2020
Great course with a great deal of meaningful content. Coursera failure on the Jupyter notebooks made wk 3 a bit more challenging, but overall its worth your while.
por Ricardo W E•
8 de jun de 2020
It is very complete course, you need to have a good background of Statistics, for the week for there is a lot of text but not enough practice or hand on projects!
por Christopher W C•
30 de jan de 2020
This course is really a general overview. The focus seems to be laying a foundation which I hope we build on in a more technical way in upcoming stats courses.
por Braulio C C D A R•
2 de mai de 2021
Good course if you have learned the foundations of statistics already and want to review it while learning how to use Python for your statistical analysis.
por Hemant K C•
3 de mar de 2021
I would have preferred lesser time in Week 4 on Sampling. Those lessons could have been moved to the next course as they don't strictly relate to Python.
por RAKESH J•
2 de fev de 2021
Content is great. Would be a great learning experience for those who have some idea of stats and python. Definitely, not for entry-level python and stats.
por Luis A S G•
5 de dez de 2020
It is a good course to start with python and statistics, the part of sampling distribution I think should improve, personally I don´t like large speeches
10 de nov de 2019
Pretty good introduction for using Python for statistics. Some of the lectures were a little dry, and the test material could have been more challenging.
por Kevin D•
13 de mar de 2022
A lot of thoery. It was a challenge to grasp all of the statistical terms. Not really much of a python or practicum course. I guess that comes later.
por Rory B•
7 de ago de 2020
Generally useful, not entirely sure what the peer review assignment was, and could have done with more python assignments to help with consolidation
por Qam R•
8 de set de 2021
great course - the labs were very helpful. Only suggestion, more practical / relatable examples when explaining certain areas, especially Inference
por Essig Z•
17 de ago de 2020
The high-level theory was well explained. It would've been awesome if there would be more hands-on labs, and if the theory would go more in depth.
por ANUBHAV C•
15 de jul de 2020
The assignments could be made more interactive,like assigning us problems on which would have to visualize the in jupyter by us to get the answer.
por Shukrit K•
13 de fev de 2020
Python exercises can be more interactive and the examples for sampling could be explained by taking a small data set for getting a realistic idea
por mohamed h•
7 de jan de 2020
some of the materials in this course was not very clear but I think there will be more explanation in the upcoming courses in this specialization
por Carlos M V R•
20 de ago de 2020
Nice course, there are very good explanations, but I thought there was going to be some mathematical background, I think it is important too.
por chetan z•
21 de jun de 2020
It is really good course for professional data scientist as mostly explains how to visualize data and graph and make an conclusion out of it.
por Yohan O B T•
8 de fev de 2021
Es un buen curso pero sería bueno que los videos fueran más cortos, hay unos que duran más de 20 minutos y a veces cuesta seguir concentrado
por Brett S•
29 de mai de 2019
Great class for beginners. Would have loved to learn the material in smaller python notebook snippets throughout. Instruction was excellent!