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 Burak Ü•
It was one of the best online-courses that I ever had. The things that I learned throughout the course was very beneficial for my job as well.
By Rafi D•
Though introductory in nature for someone familiar with Math, the real world examples and corresponding explanations makes it really worth it.
By Mohammad I A•
Material covered was very well chosen. The Professor's lectures were easy to grasp. Quiz questions were just tricky enough for one to slip up.
By Khomotso M•
what a great course for businessmen out there. It was well planned out. I really enjoyed it although it seemed challenging but I never gave up
By Rounak G•
Excellent beginner material providing you basic concepts of quantitive modelling which provides the base to modelling of real world projects.
By Kenneth B•
Great course, Instructor was clear and concise when presenting data. Love the implementation of statistics into various modeling techniques.
This course is helpful for a beginner like me, i.e. poor math background, the examples in the videos are helpful to understand math. Thanks!
By George L•
Fabulous foundation course. Strikes a balance between assuming no previous knowledge and challenging the learner with some deeper concepts.
By Cindi M•
The instructor for this class was amazing. I would suggest working thru the examples he gives you in the slides before taking the quizzes.
By Hayk L•
Very clear, straight to the point courses. Remains at high level but still, very good introduction to statistics fundamentals for modelling
By SONAL S•
This course provides with the basics of modelling and establish steady connect between mathematical tools and real world business solution.
By Pratyush D•
this is an extremely well structure and illuminating course. It really help in equipping one to better understand the Modelling techniques
By Santosh J•
The concepts have been very well explained and thank you Professor Waterman.
I wished if you had given us some practical examples to solve.
By Rukantha J•
Fundamentals of Quantitative Modeling. Nothing more - nothing less. This course will give you great introduction in the field of modeling.
By nimmy r•
This is my first learning experience from Coursera. Neatly explained and well understandable. Many thanks to Professor Richard Waterman.
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 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.