Mastering Big Data Analysis: From Basics to Deep Learning

This course is a comprehensive curriculum designed for everyone from beginners encountering big data analysis for the first time to learners looking to strengthen their practical skills. Starting with the history of data and industry trends, it systematically covers the entire flow of big data analysis, including data collection, preprocessing, storage, analysis, visualization, statistical analysis, and deep learning techniques. Many learners face difficulties such as "not being able to see the big picture of data analysis" or "knowing the theory but not knowing how to apply it in practice." To solve these problems, this course is structured in the order of Concept → Process → Analysis Technique → Result Interpretation and Application, clearly explaining why each step is necessary and how it connects to real-world tasks. This course goes beyond basic theory and focuses on mastering the mindset and analytical workflow that can be directly applied to actual data analysis projects and professional work.