Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
By Nimmy R•
This is my first learning experience from Coursera. Neatly explained and well understandable. Many thanks to Professor Richard Waterman.
By Shannon F•
A bit challenging after being out of school for awhile, but I like the video format where I can pause and review items. Would recommend.
By S D•
Its really good for a beginner. Nicely explained and designed for the purpose of quick learning. Will take the next level of course now.
By Rafael M d C M•
Este es un curso excelente para aumentar el entendimiento del racional, aplicaciones y limitaciones detrás de los modelos cuantitativos.
By Catherine Z•
A basic course on quantitative modeling, but provides a big picture and key concepts and models, and clearly presented - a great course.
By Mohammad J A•
Very methodically presented the concepts and made it easy to understand the fundamental concepts! Loved Prof Waterman's teaching style!
By James C•
Wonderful course. It was quite hard to follow for someone not coming from a business background, but the simple analogies made it easy.
By Muhaiminur R S•
brief but explicit to get the general idea of quantitative business modeling and have a good tactics to predict your business condition
By Mark S•
very interesting course. I am in the middle of changing my careers, and I thought this course and subsequent specialization would help
By Felix M•
Highly informative, well explained and overall fantastic learning experience. Will gladly enroll in more courses of the specialization!
By Hao W•
Good materials for the fundamentals of quantitative modeling. Need to pick up some maths and stats theories to help read the materials.
By Olivio A C J•
A quite good introductory course in quantitative modeling. Professor Richard explains the concepts of the subject in a very clear way.
By Salman S•
The Course is very great and helful and live examples of course instructor Sir Richard Waterman are make understanding concept easily.
By Rodrigo R•
Very basic. I don't like how they don't give you solutions or the answers to the questions so you can figure out where you went wrong.
This is a great course with challenging topics. I gained more insight into modeling and the interpretation of the probability models.
By Thrismeil A•
Amazing Lecturer. Explained everything in great detail and helps you understand every point with well defined and realistic examples.
By Dhairya P•
There could've been a better walkthrough of the examples given; I would've liked to see more through walkthrough of each calculation.
By Mikel P•
As an engineerign student this is not very difficult as I have already taken statistics, but it is very well explained and structured
By gillis a•
I really appreciate the exceptional job this course does in explaining course content and the quizzes that cover the main objectives.
By Gabriel L•
The teacher was cold yet the most welcoming and efficient. Content was well organized and presented in an interactive and simple way
By Alexander V•
Good overview of the basic statistical concepts. I would prefer it the lectures went more in depth in the mathematical calculations.
By Emily M•
A solid review of business statistics. I learned better during this course than I did in two semesters of business stats in college.
By Sahil K•
Very good presentation of the concepts. Also, the examples that are used are very easy to understand and makes concepts more clear.
By kunal b•
it was really very appropriate to understand the fundamentals of the quantitative modelling and its presented in a very simple way.
By Jonas M G•
Great overview of quantitative modelling. Definitely recommended to those looking for a grasp on the topic to dive deeper later on