Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!
By Nitin K•
I am finding this course to have a flavor where the material written on the slides are just read out loud. The content doesn't seem interesting. I was determined to complete the Specialization but I am leaving it as, unfortunately, I am feeling sleepy just by listening to the course material. This was not the case at all before taking this course. I hope the teaching methodology can be enhanced to make it more engaging. Thanks.
By Karin K•
The lectures were largely incomprehensible, even though I have a maths background, albeit some years ago. I used the textbook (on Leanpub) as the Syllabus and sought other books/websites, in particular OpenStats. The assignment was challenging initially, but once I'd done it (and got full marks!) I really had learned something. Easily the most frustrating and hardest course of the Data Specialisation so far.
Many videos lacked associated pdf slides so confusing to watch. Some topics on slides were not covered in videos. A supplemental video for those would be great even of optional.
Brian Cato is a good presenter, however, more examples needed to be done showing how to work out various statistical problems both by traditional method and using R.
By Pankaj K•
Explanations not clear and feels like he's reading rather than explaining things.
Consecutive videos feel like they are disconnected. Videos stop in the middle of him talking something. Thank god for the swirl assignments which make things much clearer!
Also the course proceed very fast not giving enough time to the concepts.
By Miguel A•
Si estás haciendo las especialización de Data Science, te enfrentas a un módulo "duro". La filosofía de enseñanza del Prof Caffo dista mucho de la del Prof Peng (curso más amenos). Hay mucho que mejorar en el materíal del curso, a veces resulta dificil de comprender el objetivo de las explicaciones del profesor.
By Nick H•
Very hard to follow, many of the maths symbols are not well explained. To little time spent on each concept and many concepts don't get a proper explanation. I had to re-learn almost every concept externally as I learnt little from the videos. Some of the lessons on khan academy are much easier to follow.
By Beverly A•
I've not found this course organized pedagogically speaking. The organization, insofar as "here is a list of stuff I'll be teaching" makes sense. But a lot of the "teaching" is ill suited for someone looking to learn with a minimal statistical background. It's incredibly frustrating and disheartening.
By James T•
Terrible instruction in the videos and unclear directions. I'd avoid this course if possible, but it's required for the specialization. New videos should be shot and inspiration taken from more instructive and interesting guides, like The Cartoon Guide to Statistics by Gonick & Smith.
By Robert O•
I really wanted to learn this stuff. I have almost no background in statistics. But the lectures didn't cover stuff with enough rigor and repetition for me to pick up much.
So I pretty much gamed the quizzes and project enough to get through the class. Rather disappointing.
By Donald R•
Covers basic statistics (Mean, Variance, Simple Z and T tests). Not what I was expecting as Inference. Multiple testing of data is a sign of poor experimental design and should be avoided, not adjusted for. Bootstrapping is not a new idea and has been used in other fields.
By Nikolai A•
Focused little on the programming side of probability, and the explanations of the material were so vague and assumed you knew so much about probability already, that I ended up using my college notes for the quizzes and projects more than the actual lecture video notes.
By Peihuan M•
It is very hard for people with no previous statistics background to follow. Some key concepts are just one sentence mentioned in passing. I have to go on YouTube to learn first and come back. Then I will understand some of the things the instructors were talking about.
By Gennadiy R•
Do NOT recommend. Very poorly explained. Refers to some concepts without introducing, introduces others without explaining. Spends most of the time looking to the computer screen instead of toward you and reading the text instead of explaining in understandable manner.
By Liew W P•
Personally, I feel that the way of sharing and teaching was assuming everyone is an expert in this subject. This course need to be reviewed to make it more suitable to various groups of profession as not everyone has the same level of mathematics background.
By Jeffrey G•
In general, I'm really excited about statistics, there are so many interesting and cool problems to work on, and yet, here I am, forced to do an analysis of, "The Effect of Vitamin C on Tooth Growth in Guinea Pigs."I can't make this shit up...
By Deas R•
Seeking out supplemental material is not only helpful, but necessary. This course does not provide a foundation of knowledge for inferential statistics so much as present several equations and functions and describe how one might use them.
By Sharon E•
This course starts with the assumption that you understand all of the terminology covered and that you already have a thorough understanding of statistics and inferences. I'm sorry - if I knew all that I wouldn't be taking this module.
By Paul K•
Poor quality audio. Monotonous lecture style with frequent inaccuracies in delivery (says one thing but actually means another). I found my motivation and performance dropped sharply in contrast to prior lectures in this series.
By raunak r•
Very disappointing!!!!!!!too much emphasis on mathematical notations....where are the practical applications?lack of examples....it seemed more of a prose than a lecture....would not recommend to a beginner.Period
By Fabiano C•
So far this is the poorest course in DS specialiation. Coins and dices all the time, Brian reads to the camera. It is just like reading a book, a very boring one. Examples from real life could boost interest.
By Marco A M A•
poor course, saturated, with an instructer that uses big words and does not explain many difficult ideas, and take for granted that the leaner knows a lot of probability and statistics.
By Evgeny P•
Course materials are not balanced, it is not enough information to follow conclusions. Course gives set of tools but doesn't build solid foundation and intuition about how to use them.
By vaibhav p•
Quality of teaching needs to improve. The professor needs to be more enthusiastic when giving the lecture.
The course content should involve more examples to help cement the concepts.
By Adnan B•
Not a good instructor or course material
it felt like if he was trying to teach to phd candidates
I just went to Khans academy for every topic.. didnt learny anything from him..
By Rennê L C V•
The teatcher know so much about the topic that he can't put himself on students shoes and see that his classes are really hard to understand. Also, the audio was pretty bad.