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.
for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.\n\nthanks
von Nimmy R•
This is my first learning experience from Coursera. Neatly explained and well understandable. Many thanks to Professor Richard Waterman.
von 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.
von 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.
von Rafael M d C M•
Este es un curso excelente para aumentar el entendimiento del racional, aplicaciones y limitaciones detrás de los modelos cuantitativos.
von Catherine Z•
A basic course on quantitative modeling, but provides a big picture and key concepts and models, and clearly presented - a great course.
von Mohammad J A•
Very methodically presented the concepts and made it easy to understand the fundamental concepts! Loved Prof Waterman's teaching style!
von 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.
von 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
von Mark S•
very interesting course. I am in the middle of changing my careers, and I thought this course and subsequent specialization would help
von Felix M•
Highly informative, well explained and overall fantastic learning experience. Will gladly enroll in more courses of the specialization!
von Hao W•
Good materials for the fundamentals of quantitative modeling. Need to pick up some maths and stats theories to help read the materials.
von 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.
von Salman S•
The Course is very great and helful and live examples of course instructor Sir Richard Waterman are make understanding concept easily.
von 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.
von Thrismeil A•
Amazing Lecturer. Explained everything in great detail and helps you understand every point with well defined and realistic examples.
von 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.
von 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
von gillis a•
I really appreciate the exceptional job this course does in explaining course content and the quizzes that cover the main objectives.
von Gabriel L•
The teacher was cold yet the most welcoming and efficient. Content was well organized and presented in an interactive and simple way
von Alexander V•
Good overview of the basic statistical concepts. I would prefer it the lectures went more in depth in the mathematical calculations.
von 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.
von Sahil K•
Very good presentation of the concepts. Also, the examples that are used are very easy to understand and makes concepts more clear.
von kunal b•
it was really very appropriate to understand the fundamentals of the quantitative modelling and its presented in a very simple way.
von Jonas M G•
Great overview of quantitative modelling. Definitely recommended to those looking for a grasp on the topic to dive deeper later on