Masterclass in Business Decision Making with Data Science

Closer to the real problem!
Data Science Masterclass for Business.

🔬 What does it take to do successful data analysis ?

What we really need is “ the ability to create the right data analysis model . ”
But when a data set for data analysis is given ,
Haven't you ever felt lost, as if you were thrown alone into the vast ocean ?

Masterclass on making business decisions with data science
An approach to starting data analysis by practicing with master data close to reality .
We teach you how to build analytical models and develop your problem-solving thinking skills .

“ This class is based on a solid scenario .”

This course is based on the electronics retailer “ Maso Electronics Mart ” .
Thinking about how to solve various problems in reality and finding answers
It is Problem-Based Learning .
Learn by solving real-world business problems using Excel's extended features .

👍 I recommend this to these people

- Those who are at a loss as to where and how to start analyzing data in a practical dataset.

- Those who want to solve various business problems with data by following a solid scenario-based story.

- Learn time series analysis , sensitivity analysis , regression analysis , Pareto analysis, etc. based on actual data sets.
Anyone who wants to have strategic insight into practical decision-making

- Those who want to strengthen their persuasiveness by presenting optimal data according to business goals.

👀 Lecture Features

Key Points from the Master Class on Making Management Decisions with Data Science !

1. Problem-Based Learning that integrates knowledge into realistic situations

Individually viewed for good decision making
Analysis algorithms , functions , Excel analysis functions , visualization techniques , statistics and economics , and management techniques.
We cultivate the ability to melt things into one .

2. Solving everyday business problems through data analysis.

There are several perspectives that organizational members must consider in order to increase sales, which is the goal of corporate activities.
By conducting a practical analysis based on approximately 70,000 daily product sales information data,
After taking the course, you will be able to handle real-world data .

3. Find the easiest solution using a familiar Excel program.

To enable quick decision making in the most effective and efficient way ,
Excel data that can be easily executed by turning it on when you have questions ,
Learn how to draw conclusions as simply as possible .

4. Explore a single data set from multiple perspectives.

There is only one “data of our company ” .
Looking deeper and deeper into a single data set from multiple angles
It requires the ability to uncover hidden insights .
Five years of sales data from a fictitious company called “ Maso Electronics Mart ” from various perspectives
How to deal with the tail-chasing questions through review practice
You will realize that you can reach meaningful conclusions .

🏆 After attending the master class on making business decisions with data science,

After attending the master class on making business decisions with data science,
The capabilities you can have are :

1. For good decision making, analytical algorithms , functions , Excel analysis functions , visualization techniques ,
By melting together the fragmented knowledge of statistics, economics , and management techniques,
Develop the ability to apply knowledge to real-world situations .

2. Even companies that do not have a data system in place may have Excel files.
By conducting practical training with product sales information data
After taking the course, you will be able to handle real-world data .

3. Decisions made through unnecessarily complex analyses are less effective .
Excel data that can be easily executed by turning it on when you have questions .
Learn how to draw conclusions as simply as possible .

4. Minimizing “ observer error ” that occurs during the analysis process
We cover various ways to utilize probability-based decision-making models .

📖 Learning Content

💬 Expected Questions Q&A

Q. What makes simulation lectures different from other lectures ?
A. Throughout the course, students will become executives of Maso Electronics .
So you can immerse yourself in the idea of your own business and learn the decision-making process .
The data handled also reflects reality to fit the identity of the virtual company called ‘ Maso Electronics ’ .

Q. Do I need to be proficient in Excel to follow the class ?
A. Because the instructor goes over each and every button that needs to be clicked.
You don't have to worry about your Excel skills .

Q. I'm not that high in rank yet . Is this lecture only meaningful if you have a high rank ?
A. No, it is not . Only the size of the data being handled may change .
The ability to think data-driven is a required skill regardless of position or field .

Q. Are there any requirements or prerequisites for taking the course ?
A. Since this is a practice-oriented lecture, the lecture screen and practice screen can be separated.
It would be a good idea to prepare dual monitors or extra devices .
Also, since the training is conducted based on Windows OS ,
We recommend taking the course in a Windows environment .

✒ ️ Introducing the knowledge sharer 

✔️ Please check before taking the class !

-        Since this is a hands-on course, we recommend bringing a dual monitor or a spare device to separate the lecture and practice screens . Furthermore, since the practical training will be conducted on a Windows OS , we recommend taking the course on a Windows environment .

-        Lecture notes and practice files are available in the <0. Textbook Download Center > section .