What are some good books on data analysis worth recommending? The most worthwhile book list recommendation for data analysis

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1. Statistics book list

If you open the job requirements for recruitment, you will be required to have the knowledge of statistics, because statistics is the basic knowledge of data analysis and machine learning, which must be learned.

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Reason for recommendation: Many people feel that statistics are boring because they did not understand the meaning of learning this course from the beginning, so they lack motivation to continue learning. What can "Naked Statistics" teach you about what it means to study statistics? What is the use of statistics in daily life? You can also read it as a popular science book.

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Recommended reason: If you have zero foundation, "Statistics in Simple" can let you learn it easily and happily. There are easy-to-understand cases in the book, with rich pictures and texts, and learning statistics will not be so boring.

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Recommended reason: suitable for people with foundation to read. If you have learned some statistics before, but gave it back to the teacher, then, if you have a certain foundation, "Business and Economic Statistics" can give you an in-depth understanding of statistics. However, note that if you have zero foundation, it will be difficult to read this book.

2、SQL

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Reason for recommendation: Getting started with zero foundation, only recommend one book and that is "Basic SQL Tutorial". The writing in this book is also easy to understand, and the cases inside are also very suitable for practical applications.

Some people will recommend "SQL must know and know". In fact, people with zero basic knowledge cannot understand this book. Those who have basic knowledge can use this book as a dictionary. If you encounter problems, you can look up the corresponding content.

3. Business knowledge

Data analysis is a profession with obvious industry characteristics. If you say you want to enter the "Internet industry", it means that you haven't figured out what you want to do.

Because the existence of the Internet is to solve the problems of a certain industry (Internet + industry), for example, Didi and AutoNavi map solve the problems of the travel and transportation industry (Internet + transportation), and the primary school English online platform vipkid solves the education industry Ant Financial solves the problems of the financial industry (Internet + finance), and Ele.me solves the problems of the catering industry (Internet + catering).

And these industries all need data analysts, and the business knowledge of each industry domain is different. What you are looking for in the future is also to become a data analyst in the XXX industry. Only when the industry is determined, can we study what the industry is and prescribe the right medicine, so that the probability of successful transformation is the greatest.

Here are a few recommended books in the industry, which can help you master the business knowledge of the industry, and you can answer interview questions related to business knowledge in the interview. Learn to face a bunch of data, what is the idea of ​​​​correct analysis.

E-commerce industry: "Data Management: Insight into Retail and E-commerce Operations"

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Game Industry: "Game Data Analysis in Practice"

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Website: "Website Analysis in Practice"

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HR Industry "Human Resources and Big Data Analysis"

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Financial industry: "Consumer Finance Truth: A Guide to the Whole Process of Personal Loan Business" 

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Other industries: "Growth Hacking" by foreign author Sean

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Reason for recommendation: There are a lot of details in the case, and it is highly executable, with both theory and practice. Among them, AARRR funnel analysis is a classic data analysis method: one article to understand the analysis method of product operation

4、Python

Python is undoubtedly the number one programming language in the era of artificial intelligence. Learning Python is divided into two parts:

1) Master the basic syntax of Python

2) Learn how to use Python for data analysis

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Recommended reason: If you haven't learned programming before, reading other programming books will make you bored and eventually lead to giving up. And "Learn Programming with Children" is full of pictures and texts, which is more suitable for beginners to learn the basic grammar of Python.

The English name of this book is "Hello World! Computer Programming for Kids and Other Beginners". Compared with the Chinese name "Learn Programming with Children", the difference is that this book is not only suitable for training children's interest in programming. Anyone who is interested in programming is a rare introductory book on programming.

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Recommended reason: The previous "Learn Programming with Children" can help you learn the basic syntax of Python. After learning, you can read "Using Python for Data Analysis" to learn how to use Python for data analysis.

In addition to eating, drinking and having fun during the holidays, you can also use the fragmented time to read books to make your life better. In the ocean of knowledge, a small encounter may be the encounter you have been waiting for for a long time.

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Origin blog.csdn.net/zhongyangzhong/article/details/129360561