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.
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 :)
创建者 Wenlei Y•
The teachers are all enthusiastic and very professional. Videos are great! But I cannot give a five-star since the assignments do not seem very effective, and there are some old codes that are only applicable to python 2 (rather than python 3).
创建者 Daniela C C•
It is a great course to learn statistics. The lectures and teachers are excellent. I think they should change the way they teach Python programming and should use other tools for students to practice, like the tool to learn R (R labs).
创建者 Nicoli M U•
The classes and content are great. It has fixation exercises, which helps a lot. I would suggest as an improvement to put more examples in unit 4, because there were times when the concept was not very clear, especially complex samples
创建者 Phuong A N•
This course is a good begin for statistic learning, especially sampling and visualization ideas. The content is quite long, there are so many lectures as well as reading material.
It is better if the summary reading is provided.
创建者 Vincent R•
Very thorough introductory course to data understanding with a clear presentation of probability and non-probability sampling, probability of selection, and sampling distribution. Wish I had this course when I was in college!
创建者 Divyam A•
Can have more adavanced excercisesm and scope of data visualizations can be improved(since those are not that advanced) but for a begineer this is a great course, the links in the courses are great to extend the knowledge.
创建者 Pankaj R•
Very helpful course for newcomer in data science studies. Great in clearing fundamentals for descriptive statistics, use of python to get these insights,plotting. Overall provide good learning curve.
创建者 matthieu c•
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.
创建者 Samuel B•
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
创建者 Pradeep S•
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.
创建者 Ragib S A•
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.
创建者 Christopher B•
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.
创建者 Ricardo W E•
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!
创建者 Christopher W C•
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.
创建者 Hemant K C•
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.
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.
创建者 Rory B•
Generally useful, not entirely sure what the peer review assignment was, and could have done with more python assignments to help with consolidation
创建者 Essig Z•
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.
创建者 ANUBHAV C•
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.
创建者 Shukrit K•
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
创建者 mohamed h•
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
创建者 Carlos M V R•
Nice course, there are very good explanations, but I thought there was going to be some mathematical background, I think it is important too.
创建者 chetan z•
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.
创建者 Brett S•
Great class for beginners. Would have loved to learn the material in smaller python notebook snippets throughout. Instruction was excellent!
创建者 Leandro R V•
It's a good course to learn the statistics fundamentals with some python pratices with Pandas, Numpy, Matplotlib and Seaborn