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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.

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

Data literacy

데이터 리터러시

빅데이터

군집분석

머신러닝

입문

초급

중급이상

Big Data

Machine Learning(ML)

Business Problem Solving

Data Mindset for the AI & Big Data Age

Data Analysis and Basic Statistics for Problem Solving

Data Collection and Investigation Methods for Problem Solving

DIY Data Analysis Anyone Can Do and Tools

Data Analysis (1) Trend Analysis for New Business/Product Planning

Data Analysis (2) Identifying Customer Needs through Text Data Analysis

Data Analysis (3) Drawing Conclusions through Statistical Hypothesis Testing

Data Analysis (4): Smart Decision-making Through A/B Test Analysis

Data Analysis (5) Data Summary and Insight through Visualization Analysis

Data Analysis (6) Exploratory Data Analysis Using ChatGPT

Customer Segmentation and Target Marketing Using Cluster Analysis

Predictive Modeling and Customer Clustering using Machine Learning

How to improve your data mindset