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Data Science

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Data Analysis

Business Analytics, Strategic Decision Making Practice Master Class

You know the importance of 🔥Big Data🔥 in your business, but you gave up on data analysis tools with difficult names like Python, R, SQL... before you even started? Don't worry anymore 😉 A beginner's course that teaches anyone how to analyze data and discover valuable insights using Excel, which is highly accessible!🎁

(3.0) 1 reviews

15 learners

  • masocampus
Excel
Management

What you will learn!

  • How to analyze product marketability using Excel data analysis

  • Essential Economics Concepts for Business Analytics

  • How to Plan Marketing Campaigns Using Monte Carlo Simulation

The power of data to set direction and make decisions!

Lots and lots of data,
The key is utilization 📊

Technological advancements are increasing the amount of data consumed daily. Furthermore, the rapid digitalization of business processes across the globe in recent years has led to an increase in both the volume and velocity of data. Consequently, data is emerging as a new revenue stream for businesses, and growing and expanding it is becoming a core competency for companies.

Big data? What good is a lot of data? If you can't manage and analyze it, it's dead!
The key to big data isn't data collection itself, but how to utilize it. Furthermore, in addition to preparing new technologies and infrastructure, it's crucial to consider where to use it and what results it will produce.

This course will teach you data analysis methods like Pareto analysis, cross-proportion analysis, PPM position analysis, regression analysis, and conjoint analysis, enabling you to make effective decisions. Beginners to data analysis will gain a fundamental understanding of data concepts and gain a fresh perspective on the decision-making process . Furthermore, you'll gain practical skills through hands-on training using a virtual dataset called "Maso Electronics Mart." So, let's become a professional capable of making strategic data-driven decisions right now!


In the world of data
Welcome to the newbies! ✨

💁 Recommended for these people

  • ✔️ Future marketers who want to achieve results through data analysis
  • ✔️ College students who want to experience marketing work
  • ✔️ Job seekers hoping for a marketing job
  • ✔️ Current employees who want to strengthen their work capabilities
  • ✔️ Those who dream of "starting a business/joining a company/changing jobs/re-skilling/talent transformation"

🎲 After listening to this lecture

By taking the Business Analytics and Strategic Decision Making Masterclass, you'll gain the following skills:

  • ✔️ Efficient data management capabilities
  • ✔️ Data processing capabilities using various Excel functions
  • ✔️ Ability to develop effective data-driven marketing strategies
  • ✔️ Data analysis skills that can be immediately applied to practice

Key points of this lecture 👀

1. Start data analysis with Excel right now!

Python, R, SQL... The names of these analytical tools are so intimidating... I'm not a data analyst, but I'm wondering if there's a way to analyze data. The answer... is right here! 💥 Data analysis is possible with Excel, which is highly accessible and versatile ! The key to data analysis isn't the "tools," but the "analytical skills" to understand and analyze data to uncover insights. ☝️

2. Training based on 70,000 product sales data

We'll conduct a variety of analyses using data from a fictitious company called "Maso Electronics Mart." Gain practical experience by practicing various data analysis methods, including Pareto analysis, cross-ratio analysis, PPM position analysis, and conjoint analysis, using fictitious data!

3. Learn today and apply it to your work tomorrow!

Modern society is so busy! ⚡ We've prepared this course for you, who have so much to do and learn! In just six hours, you'll learn how to improve your performance using readily available data. Highly recommended for those who want to quickly develop data analysis skills and learn how to fully utilize data to make valuable decisions!


Learning content
Check it out 📚

1) Product growth analysis (Pareto, cross ratio, PPM analysis)

By analyzing profit margins, product turnover, and market competition across various categories, you can identify which products have growth potential. By identifying Maso Electronics Mart's flagship products and analyzing each product's sales portfolio, you can develop a strategy tailored to its specific characteristics.

2) Establishing an advertising budget for your main products

By analyzing product growth potential, we identified Maso Electronics' flagship products. We first ran ads with a small budget to obtain sample data, then calculated the projected sales volume for 1 million ad impressions.

3) Deriving regression estimates and understanding regression analysis

We will use regression analysis to derive projected sales figures for Maso Electronics Mart's new Seoul East Branch. By analyzing the impact of a single variable on sales and the impact of two or more variables on sales, we can estimate sales volume and the optimal number of salespeople needed to achieve target sales.

4) Conjoint analysis and dummy variable method

To ensure the success of the Seoul East branch, we identify and prioritize the factors consumers value. We represent the identified variables in a matrix, apply dummy variables, and conduct multiple regression analysis to validate the regression equation. This allows us to develop a strategy to effectively attract consumers.


Maso Campus Director Choi Jeong-ah
We are with you ✒️

Check out the Q&A! 💬

Q. What makes simulation lectures different from other lectures?

Throughout the course, students will assume the role of Maso Electronics Mart's executives. Therefore, they will learn the decision-making process through immersive analysis of real data, reflecting the reality of Maso Electronics Mart's fictional company identity.

Q. Do I need to know all of Excel's functions to follow the class?

You don't have to worry because we'll teach you how to use Excel from the beginning.

Q. Are there any requirements or prerequisites for taking the course?

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


Please check before taking the class! ✅

💡 Instructions

  • Sound volume varies by lecture (unit). Depending on your viewing environment, the audio in certain videos may appear quieter. Therefore, please be sure to check the lecture preview before attending.
  • Since this is a hands-on course, we recommend bringing a dual monitor or a spare device that allows you to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course in a Windows environment.
  • Lecture notes and practice files are available in the <0. Textbook Download Center> section.

Recommended for
these people

Who is this course right for?

  • Practitioners who want to improve performance through data analysis

  • Office workers who want to analyze data using Excel rather than Python, R, or SQL

  • Anyone who wants to master everything from data usage to data analysis process in a short period of time

  • Job seekers who want to experience the process of making decisions using data in the workplace

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29 lectures ∙ (6hr 6min)

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