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Data Science

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Data Analysis

Methods to Improve Data Mindset (Data Literacy) for Immediate Use in Work

We introduce methods for planners and marketers without data analysis experience or technical skills to try data analysis at the most basic level, complete with various examples. Built on years of hands-on practice with over 2,000 participants in more than 100 companies and public institutions, the content is designed around the most practical analysis methods for data non-experts.

(5.0) 1 reviews

3 learners

Level Beginner

Course period Unlimited

  • kpcre
Data literacy
Data literacy
Big Data
Big Data
Machine Learning(ML)
Machine Learning(ML)
Business Problem Solving
Business Problem Solving
Data literacy
Data literacy
Big Data
Big Data
Machine Learning(ML)
Machine Learning(ML)
Business Problem Solving
Business Problem Solving

What you will gain after the course

  • Can identify data collection and analysis methods for problem-solving.

  • Can understand trends, text data, A/B testing, and data visualization analysis methods.

  • One can solve problems and formulate strategies by analyzing data.

How Planners and Marketers Can Make Better Decisions Than Data Analysts!

The person who best understands the nature of the work and knows what the data truly means is the practitioner who has been doing that work for a long time. This is because they don't just look at numerical relationships, but understand the background behind the numbers. When such practitioners also develop a data mindset (and further, analytical skills), it's equivalent to gaining tremendous competitive advantage. Through data, we can think strategically and make proactive decisions that help drive corporate growth.

This course teaches planners and marketers with no data analysis experience or special technical skills how to perform data analysis at the most basic level, along with various case studies. Over several years, I have practiced with over 2,000 students from more than 100 companies and public institutions, and have structured the content with the most realistically applicable analysis methods from the perspective of data non-specialists.

Field-centered education

  • We help non-experts develop data-driven problem-solving and opportunity discovery capabilities through the ability to understand and analyze data.

  • We provide solutions for seniors and non-majors who are unfamiliar with data to apply data in practical work and read trends.


Presenting key points focused on practical application

  • You can learn by topic through micro-learning focused on core keywords that can be immediately applied in practical work.

Course Outline


1. Data Mindset Needed in the Age of AI and Big Data

2. Data Analysis and Basic Statistics for Problem Solving

3. Data Collection and Investigation Methods for Problem Solving

4. Self-Service Data Analysis That Anyone Can Do and Its Tools

5. Data Analysis (1) New Business and Product Conceptualization Through Trend Analysis

6. Data Analysis (2) Understanding Customer Needs Through Text Data Analysis

7. Data Analysis (3) Drawing Conclusions Through Statistical Hypothesis Testing

8. Data Analysis(4) Smart Decision Making Through A/B Test Analysis

9. Data Analysis (5) Data Summary and Insights Through Visualization Analysis

10. Data Analysis(6) Exploratory Data Analysis Using ChatGPT

11. Customer Segmentation and Target Marketing Using Cluster Analysis

12. Predictive Modeling and Customer Clustering Using Machine Learning

13. Ways to Improve Your Data Mindset

Presenting differentiated content through recruiting specialized data analysis professors

We recruit specialized data analysis professors to provide lectures that carefully select only the core skills required in industrial settings. We have recruited instructors who are highly praised for their in-depth lectures at corporations, public institutions, and universities to present professional and differentiated content.


Professor Gu Ja-ryong

Currently) Representative Consultant at Valuebin Co., Ltd.

Current) Yeongwol-gun, Cultural Tourism Policy Advisory Committee Member

Former) Gwangmyeong City, Sustainable Development Committee Member

Former) Seoul Metropolitan Government, Seoul Brand Committee Member

Former) Director of Global Management Association (Incorporated Association)

Former) Sangmyung University, Business Administration Department Adjunct Professor

Former) Myongji University, Graduate School of Distribution/Kyung Hee University, Graduate School of Business Administration Lecturer


Recommended for
these people

Who is this course right for?

  • Staff and managers needing data-based decision-making

  • Practitioners and managers who need market and trend research

  • Planners and marketers who need to utilize data for business strategy planning

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4.7

Rating

192

Courses

As an affiliate of the Korea Productivity Center established in 1987, we provide essential job training for employees of corporations and public institutions.

We have developed job-duty-task-based educational content to strengthen practical skills, based on the actual 'work' that occurs in real corporate business environments.

Experience job training on a whole new level!

Homepage : https://www.kpcice.or.kr

Curriculum

All

26 lectures ∙ (7hr 38min)

Published: 
Last updated: 

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1 reviews

5.0

1 reviews

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    Average Rating 5.0

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    $85.80

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