This book was created to convey knowledge in data analysis. The author has consolidated knowledge from books, textbooks, and academic articles both domestically and internationally

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This book was created to convey knowledge in data analysis. The author has consolidated knowledge from books, textbooks, and academic articles both domestically and internationally, as well as their experience teaching data analysis and artificial intelligence, conducting research, and providing academic services to crystallize and organize the content by following the data science process, starting from data collection, data processing and preparation, data behavior exploration, data analysis for building predictive models, clustering analysis, and recommendation systems that rely on artificial intelligence techniques, along with model performance evaluation and analysis results application, including case studies from the author's research. The content covers both theoretical aspects and programming guidelines in Python, enabling readers to learn and practice until they are able to perform actual tasks...