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 :)
By 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!
By 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.
By Luis A S R•
la ultima semana debería ser divida en dos , y tener mejor interacción entre la aplicación de python y el contenido explicado, ya que al ser tantas horas de video puede llegar a ser extenuante y aburrido.
By 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.
By 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.
By 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
By 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.
By 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.
By 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.
By 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!
By 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.
By Braulio C C D A R•
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.
By 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.
By RAKESH J•
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.
By Luis A S G•
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
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.
By 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
By 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.
By 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.
By 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
By 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
By 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.
By 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.
By Yohan O B T•
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
By Brett S•
Great class for beginners. Would have loved to learn the material in smaller python notebook snippets throughout. Instruction was excellent!