This is an assignment of another class “Business data analysis” at Yokohama National University.
Students are required to develop their own story, supported with the analyzed data.
This is the key skill-set when you apply those analytical techniques to the practical business issues/proposals.
We have already experienced several similar exercises at the class and I am so excited that they will enjoy it and present interesting insights.
Please send me an email if you / your organization would like to try those lessons/lectures.
Final exam case was announced last week.
The students are required to complete their own business financial plan and give an individual presentation in two weeks.
This is the case:
There is no “right” answer but the plan must be feasible and reasonable while meeting all the business requirements given in advance.
They have already learned the techniques to develop a business financial plan.
Making reasonable assumptions and adjustments to meet the requirements are the key!
Good luck and enjoy it !
I saw great progress of my students to develop their own financial plan with business strategy.
It took only three months to achieve it, who did not know even what “Revenue” is in April.
Here is an example output of a student in the class.
The business case was “web site developer” where you need to develop a business plan to reach positive profit within a year.
Reasonable business strategy in line with the assumptions in the business model is also required in the presentation.
This is a fundamental and basic business skill where you will be required in any type of business in the world.
I would be happy to discuss a chance to conduct the class (even as an intensive program).
My business statistics class has started at Yokohama National University.
The first exercise of the class today was making a summary of the customer inquiry data at a shopping mall.
The students (international students from 12 countries) were required to make a brief report of the data with the following consideration:
(1) Which category is the most critical, Gender, Age or type of shop?
(2) At which level do you need aggregate the original data to find the insights effectively?
(3) What is the conclusion rather than calculation results?
You do NOT have to rely on any advanced statistical techniques rather you can use simple tools such as TOTAL, AVERAGE, PERCENTAGE etc.
This is the first step for the students who want to manage business data effectively. They were really excited about the exercise.
Enjoy and study hard!
My business statistics class started at Yokohama National Univerisy for the international students from all over the world.
Just to explain some basics for the new students, I was struggling to show the level of aggregation of data in my class.
This is a concept that you need to learn for managing data itself before studying some statsitics.
Today I found the word “granularity”.
I guess it is not that common word even for English speakers but it really fits the concept.
The new semester at Yokohama National University in Japan will begin soon.
Here is an agenda of one of my programs for the international students:
Modeling with statistics and meta-data
The name of the program is a bit strange against my intention but the program is designed for the students who need to make:
(i) a story-based presentation supported by quantitative information (data, data analysis)
(ii) a survey for their business plans/presentations
The class is composed of three parts:
(1) Data management basics
(2) Data analysis techniques
(3) Application exercises (Story-making, survey arrangement)
So excited to start the extremely practical business program in April for the undergraduate students from all over the world!
The semester has just finished at Yokohama National University.
- Business logic and team consensus
- Problems solving
Good job! See you somewhere in the world!
I would be happy to give my lecture(s) of “practical” business logic making (for communication, negotiation and presentation etc.) for your company, university and many kinds of organization.