"Data Analyst's Notes: Essence of 72 Core Issues in Data Analysis" starts from the underlying cognition, thinking methods, tool technology, project implementation and prospects, uses the form of questions and answers to explain 72 core knowledge points in data analysis, builds a knowledge framework of data analysis, and leads readers to understand the mystery behind data analysis. Readers can use this book as a learning map to conduct extended learning on specific methods and technologies.
Reader comments
Very good. This book systematically shares the basic cognition and practical methods, tools, and career development prospects of data analysis from multiple perspectives, and is very practical. Nowadays, many industries are promoting refined operations and data-driven business. However, different industries generate different amounts of data, and the driving force of data on business is also different. Personally, I think Internet companies still have a greater need for data. Traditional manufacturing companies must view the value of data rationally and not be too superstitious.
People like me who work hard for their dreams can learn a lot of practical knowledge and skills from it. And I particularly hate books that only talk about theory and are unrealistic. This book is very down-to-earth and reminds me of the problems I encountered at work. It really resonates with me! Recommended to everyone!
Very useful, especially for those who want to become a data analyst but don't know how to start.
Apply what you have learned and be a good teacher!
Very good. This book systematically shares the basic cognition and practical methods, tools, and career development prospects of data analysis from multiple perspectives, and is very practical. Nowadays, many industries are promoting refined operations and data-driven business. However, different industries generate different amounts of data, and the driving force of data on business is also different. Personally, I think Internet companies still have a greater need for data. Traditional manufacturing companies must view the value of data rationally and not be too superstitious.
People like me who work hard for their dreams can learn a lot of practical knowledge and skills from it. And I particularly hate books that only talk about theory and are unrealistic. This book is very down-to-earth and reminds me of the problems I encountered at work. It really resonates with me! Recommended to everyone!
Very useful, especially for those who want to become a data analyst but don't know how to start.
Apply what you have learned and be a good teacher!