This book is carefully written by front-line data analysts and introduces data analysis methods and tools commonly used in data analysis work through a large number of cases. This book includes 5 chapters, namely introduction to data analysis, data analysis - starting from playing with Excel, massive data management - talking about MySQL, data visualization - the use of Tableau, and advanced data analysis - Python data analysis. This book is easy to understand and helps readers improve their data processing skills while deepening their understanding of data analysis thinking through a large number of cases close to real enterprise scenarios. This book is suitable for self-study by people who are interested in engaging in data analysis or already engaged in primary data analysis. It can also be used as a reference book for product managers, operations personnel, market personnel, business executives who are interested in data analysis, and entrepreneurs.
Reader comments
I particularly like the practical cases in the book, which are close to real scenarios and allow me to better understand data analysis thinking. Moreover, I feel that this book is not only suitable for beginners, but also can help people who are already working in the field of data analysis to improve their skills.
Good, helpful for work, broadens the perspective of thinking, worth reading
I particularly like the practical cases in the book, which are close to real scenarios and allow me to better understand data analysis thinking. Moreover, I feel that this book is not only suitable for beginners, but also can help people who are already working in the field of data analysis to improve their skills.
Good, helpful for work, broadens the perspective of thinking, worth reading