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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.

2 learners are taking this course

  • kpcre
데이터 리터러시
빅데이터
군집분석
머신러닝
Data literacy
Big Data
Machine Learning(ML)
Business Problem Solving

What you will learn!

  • 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

Hello
This is

296

Learners

23

Reviews

4.5

Rating

117

Courses

1987년에 설립된 한국생산성본부 부설기관으로, 기업과 공공기관의 임직원을 대상으로 회사생활에 꼭 필요한 직무교육을 제공하고 있습니다.

실제 기업의 업무에서 일어나는 ‘일’을 바탕으로 실무역량 강화를 위한 직무역량(Job-Duty-Task) 기반의 교육 콘텐츠를 구성했습니다.

차원이 다른 직무교육을 경험해 보세요!

홈페이지 : https://www.kpcice.or.kr

Curriculum

All

26 lectures ∙ (7hr 38min)

Published: 
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$85.80

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