Master Class: Making Business Decisions with Data Science
This is a Problem-Based Learning course where you go beyond simply learning how to use data analysis tools and follow stories based on business problems commonly encountered in practice to solve actual Business Questions.
The introductory bootcamp was good, but I think this course was better.
It was a lecture that I could feel that a lot of care was put into the production of the lecture, because it presented the knowledge organically as a story, rather than simply listing it.
What you will gain after the course
Understanding the features of data analysis tools and their utilization plans within an organization
Learning how to utilize data analysis-based decision-making
Securing the capability to operate data-driven projects
Analyze and judge real-world datasets from various perspectives
Closer to real-world problems! Data Science Master Class for Management.
🔬What is needed for successful data analysis?
What we truly need is the “ability to create the right data analysis models”. However, when you are actually given a dataset for analysis, haven't you felt a sense of helplessness, as if you've been thrown alone into the middle of a vast ocean?
The Management Decision-Making Master Class with Data Science uses realistic master data for hands-on practice to teach you approaches for starting data analysis and how to build analytical models, while also helping you develop critical thinking skills for problem-solving.
“This class is based on a solid scenario.”
This course is a Problem-Based Learning program set in the context of “Maso Electronics Mart,” an electronics retail distributor, where you will contemplate and find answers on how to solve various real-world problems . You will learn by solving business problems encountered in reality using Excel's extended functions.
👍Recommended for these people
- Those who feel overwhelmed and don't know where or how to start analyzing data from practical datasets
- Those who want to solve various business problems using data by following a solid scenario-based story
- Those who want to gain strategic insights for practical decision-making by learning time series analysis, sensitivity analysis, regression analysis, and Pareto analysis based on real-world datasets
- Those who want to enhance their persuasiveness through optimal data presentation aligned with business goals
👀Course Features
Master Class on Management Decision-Making with Data Science Key Points!
1. Problem-Based Learning that applies knowledge to realistic situations
To make good decisions, you will develop the ability to integrate analysis algorithms, functions, Excel analysis features, visualization techniques, statistics, economics, and management techniques—which may have seemed separate— into one cohesive skill set.
2. Solving everyday business problems that anyone can encounter through data analysis
By conducting hands-on exercises that analyze approximately 70,000 rows of everyday product sales data from various perspectives that organization members must review to increase sales—the ultimate goal of corporate activities— you will be able to truly handle real-world data after completing the course.
3. Finding solutions as easily as possible using the familiar Excel program
To enable quick decision-making in the most effective and efficient way, you will learn the tricks to derive conclusions as simply as possible using Excel data that you can easily open and run whenever a question arises .
4. Exploring a single data set from various perspectives
There is only one “our company's data.” You need the ability to look at a single data set from various angles, delving deeper and deeper to find hidden insights. Through the practice of reviewing “Maso Electronics Mart,” a fictional company's 5 years of sales data from multiple perspectives, you will realize how to handle a continuous chain of questions to reach meaningful conclusions.
🏆After taking the Master Class on Business Decision Making with Data Science
After taking the Data Science for Management Decision Making Master Class, the competencies you will gain are as follows.
1.Develop the ability to integrate fragmented knowledge of analysis algorithms, functions, Excel analysis features, visualization techniques, statistics, economics, and management techniques into a single cohesive framework and apply it to real-world situations.
2. By practicing with product sales data that even companies without established data systems are likely to have in Excel files, you will be able to truly handle real-world data after taking this course.
3. Decision-making through unnecessarily complex analysis is less effective. Learn the tips for drawing conclusions as simply as possible using Excel data that you can open and run easily whenever a question arises.
4. It covers various ways to utilize “probability-based decision-making models” that minimize observer bias occurring during the analysis process.
📖Learning Content
💬Frequently Asked Questions Q&A
Q. What makes the simulation lecture different from other lectures? A. Throughout the lecture, students will become the management team of Maso Electronics. Therefore, you can learn the decision-making process by immersing yourself as if it were your own company, and the data handled also reflects reality to match the identity of the virtual company called 'Maso Electronics'.
Q. Do I need to be proficient in Excel to follow the class? A. The instructor will go over every single button you need to click, so you don't have to worry about your Excel skills.
Q. I am not at a high rank yet, is this lecture only meaningful for those in high positions? A. Not at all. While only the size of the data being handled may vary, the ability to think based on data is a required competency regardless of rank or field.
Q. Are there any requirements or prerequisites for taking this course? A. Since this is a practice-oriented course, it is recommended to have a dual monitor or an extra device to separate the lecture screen from the practice screen. Additionally, as the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.
✒️ Instructor Introduction
✔️ Please check before taking the course!
-As this is a practice-oriented course, it is recommended to have a dual monitor or an extra device to separate the lecture screen from the practice screen. Additionally, since the practice is conducted based on Windows OS, we recommend taking the course in a Windows environment.
-The lecture notes and practice files are located in the <0. Material Download Center> section.
Recommended for these people
Who is this course right for?
Those who feel overwhelmed and don't know where or how to start analyzing data from a real-world dataset
Those who want to solve various business problems with data by following a story based on a solid scenario.
Those who want to gain strategic insights for practical decision-making by learning time series analysis, sensitivity analysis, regression analysis, and Pareto analysis based on real-world datasets.
Those who want to enhance persuasiveness through optimal data representation aligned with business goals
Need to know before starting?
As this is a practice-oriented course, we recommend using dual monitors or an extra device to separate the lecture screen from your practice screen.
Since the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.
No prior knowledge of data analysis is required.
The ability to use basic Excel functions is required.
"I will grow more than yesterday. And, I will help those who strive to grow more than yesterday."
With Actionable Content that embodies the sincerity and aspirations of Maso Campus,
100 million cumulative hours of lectures shared online and offline since 2013!
This precious experience and time are always the source of growth for both Maso Campus and our students.
The Miso Campus team strictly adheres to two principles for the growth of us all. 1. Actionable Content that can be put into practice immediately after learning. 2. Respecting the time and effort of participants.
The Miso Campus team strictly adheres to two principles for the growth of us all.
1. Actionable Content that you can actually use after learning
2. Time-Saving Curriculum that respects the participant's time and effort
Grow with Miso Campus's Actionable and Time-Saving Curriculum
1. Actionable Content that you can surely use once you learn it
2. Time-Saving Curriculum that respects the time and effort of participants
We hope you will walk the path of growth together with Masocampus's Actionable and Time-Saving Curriculum.
We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.
The introductory bootcamp was good, but I think this course was better.
It was a lecture that I could feel that a lot of care was put into the production of the lecture, because it presented the knowledge organically as a story, rather than simply listing it.