Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty. You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization.
4 starts only because Week 3 lecturer is not good at all. hard to follow, leaves things on slides unexplained. throws bunch of formulas forever without showing it in excel.
Absolute gold. This course taught me to use the complex concepts I knew in excel. This was a challenging and interesting course and definitely useful for people who work in finance.
I thoroughly enjoyed this course. I not only learned a lot in terms of ability to use Excel and am now better equipped to approach data in certain (and uncertain) situations
This course was very insightful. It's a great refresher course if you have a finance background. It's also beginner-friendly if you do not have finance background.
This course has rich theoretical and practical material if you want to study about risk and reward analysis.Recommended for aspiring young finance or business analyst!
Awesome couse for learning applications of statistics in real world problems. They show how can we optimize the results using the most common tool among all business environments: excel.
one of the best, as a data analyst this course will give you the necessary knowledge needed in business intelligence and financial modelling. The last week was very challenging but apt.
Excellent orientation on risk and modelling. Both instructors were clear, articulate and well-organized. The modules , examples and quizzes reinforced the learning.
The course content was really good and rightly paced. The quizzes were really good and were designed to actually help participant understand the theoretical concepts in a better way.
Overall very interesting. Just week 3 was very hard to understand and the quiz had NOTHING to do with what the professor was explaining. He was very disorganized
Tough course but challenging in a good way. This course challenges you to think differently and will improve your skillset in many areas including analysis, critical thinking, and numbers.
A very good and practical course, especially if you have some basic knowledge in statistics. Make sure to take your time and try out the excel examples to deepen your understanding.
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This course is not really about Modelling Risk. To be honest, it is just about basic statistics and probabilities. For a learner who has 4-year degree in Statistics, this definitely is not for you if you are going to pursue the area of risk management or statistical modelling in risk.
The expllanation for Week 3 is very poor. The professor fails to go into details and leaves much to assumption. A better understanding of reading the statistical tables and more detailed explanation of the pdf and CDF functions are required.
WEEKS 1, 2, and 4 were AWESOME and had great information. Weeks 1,2, and 4 were very detailed and successfully communicated in a manner where an audience with or without a specialty in statistics can easily follow the logic, understand the purpose and think of how these tools/lessons can be applied in the varying worlds of risk, compliance, algorithms, and finance.
I cannot say the same for week 3. Sadly, out of the whole certificate program it was this was the week I was most interested in (e.g. Goodness of Fit and identifying the Distribution of one's data) but, felt the week was poorly communicated, not supplemented with sufficient (if any) examples that one could tie into the real world, did not provide sufficient excel formulas, explanations, visuals or examples.
Tough course but challenging in a good way. This course challenges you to think differently and will improve your skillset in many areas including analysis, critical thinking, and numbers.
The course covers important statistical concepts pertaining to risks and explains the interpretations and calculation in details. A must do.
Introductory course in Risk Modelling to be considered as a gentle introduction to concepts of Expected Return and Standard Deviation in business settings with the use of Excel solver and Data Analysis Toolpak.
Highly focused on statistics and distribution's fitness onto models, this module will allow you to acquire a toolkit to decide whether wich distribution fits best in your reality, and apply it successfully.
It is one of the best risk modeling course I have attended. Besides so many negative comments and people who seek for solutions without understanding the topic in the discussion forum, I start from one basic remark: this course and whole this specialization of Business and Financial Modeling needs good statistical understanding, probability theory and general advanced mathematical reasoning. This course is based on risk modeling scenarios in the next points:
- optimization modeling
- algebraic approach of profit
- statistical tests (and Monte-Carlo simulation)
- statistical interpretation of risk
Pros: Excel or Google sheets.
Enjoy!
Both Lecturers(professor), were very Professional, Yet I have to Admit the Excel skills that are required in these Modules, its still make me learn even further. I have worked for many years with Big Companies, we never Used Data Analyses like this, its a very comprehensive, easy Understanding Modules, all You need is Persistency and attention. Thanks Once again Coursera for the Platform, and the University of Pennsylvania for this Course specialization.
I must say this is a very good course for business modeling. I have learned linear programming, simulation and decision-making in the course. Both professors have done fantastic job while explaining complex terms. Also, the course contents are aligned with the quizzes at the end of each week. I will definitely applying these skills in my job that I have learned. Thank you Wharton Online and Coursera for making this wonderful specialization.
The overall experience is amazing. I am actually more of a science student but I have always been interested in trying out Business and I hoped that I would get an opportunity in college. However, I came across this course and it has encouraged me to take business. At the very least, I was addicted to the whole concept of stocks and shares because of this course. Highly recommended.
My only concern is that the assessments had very short mathematical exercises. I would have loved to dive deeper into the different types of distributions, and experimented with how different assumptions about the initial data would lead to different simulations. This WAS a part of the course, but maybe there will be a more advanced course that dives even deeper into that subject.
Wow! I was worried after the previous course in the certificate series, and frankly it could be skipped! This course does everything the last course should have done. I loved the way you could work along with the instructors and do the work yourself in excel instead of simply watching. The quizzes were directed and used the classwork, not just random nonsense! Much better!
This is one of the best course I have taken on Coursera. The frameworks and tools that are covered in the course are essential for any person involved in planning, budgeting, or financial modeling. The professors give very straightforward and clear instructions so that students can easily implement them into their own projects. Thank you!
Course with full of knowledge regarding Financial modelling and how to tackle with uncertainty by generating several scenarios. Ultimate teaching pedagogy with perfect excel examples.
Can Improved up to a better level by introducing some more real life examples to model Sensitivity and uncertainty.
I absolutely loved this course. Both professors are very methodical and clear. They covered material in an amazing way. I learned many new things by taking this course.P.S. I think that the second course in this track needs to be deleted. It makes the whole track worse and not better.
Thank you to both great Professors for the very value-added core and fundamental concepts on the risk and realities. There concepts are crucial for day to day analysis at my professional career. I am really fortunate and thankful to be able to complete the course from Wharton Online.
Through this course I learned how to ascertain the riskiness and returns of the project through statistics and financially. The Statistics portion was bit harder but the course structure was very easy and understandable. The course is truly good.
As the specialization continues, the content covered in each course continues to accelerate my understanding of financial/quant modeling. The videos, examples and spreadsheets in this course of Modeling Risk and Reality were of great help.
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand