How to teach yourself data analysis

1 book "Who says novices can't analyze data?

Very interesting data analysis book! Basically, you can understand it after reading it, and explain it in the form of a novel, with a strong sense of substitution. Structured thinking, data processing skills and data presentation skills including data analysis can help us improve our competitiveness in the workplace. If you can't find a job, study hard, and naturally there is no problem.

The second book "Save Your Excel Data Analysis, Processing and Display (Animation Edition)"

A mobile phone reading Excel operation book, most examples are equipped with two-dimensional code, which can be read by scanning the mobile phone, and basically you can learn to read while lying down. The analysis and processing of all data also brings workplace examples (including accounting, HR and sales scenarios), which is very practical. Save our little white Excel, the salary increase in the workplace is not a dream!

The third book "Excel Drawing: How to Make Professional and Effective Business Charts"

The book "Daniel in the Workplace" teaches us to make charts, so it is impossible to read it well. Able to design and produce professional and effective business charts with magazine quality. I believe it is difficult for us to do it at ordinary times. You will know, maybe everything is not that difficult.

The fourth book "Absolutely! Excel can be used in this way: data analysis classic case actual combat chart book

A very good series, which are all common skills of Excel, are suitable for sales and HR, and are also workplace stories. They are grounded and have videos, which are all common concepts and methods of Excel data analysis.

The fifth book, Data Analysis in Simple Terms.

Easy-to-understand series is a series of books that are very friendly to beginners, explaining cases in vivid but wordy language. A thick book turns quickly. This book covers a wide range of basic concepts, including a little statistical knowledge, and will have a general understanding of data analysis thinking after learning.

The sixth book "MySQL will know and know"

If you really want to buy a book, you can look at this one, which is suitable for beginners to learn, and you can look at the basic concepts and related chapters of the query. Most MySQL on the network is partial to DBA.

The seventh book, statistics is easy to understand.

Simply speaking, it is probably the most verbose series, from selling rubber ducks to gambling machines, including hypothesis testing, probability distribution, descriptive statistics, Bayesian and other commonly used statistical analysis.

The eighth book "Network Analysis in Actual Combat"

The Internet is no longer the world of websites, but there is still a Web on the mobile side. All H5 activities and third-party content we see in our circle of friends are realized by web pages. There is still room for data analysis of the website, and the data indicators of the website can still guide our operation!

Article 9 Python simply puts it.

It is still a simple series, which is completely suitable for newcomers with zero foundation. It should be noted that programming learning is different from other knowledge. If the computer foundation is not stable, it will encounter various problems in use. Yes, but I don't know why!

10 Python learning manual

For people with a programming foundation, this book is verbose, but for beginners, it can avoid unnecessary pits. Think of it as a tool document, and read what you don't understand.

Use Python for data analysis (1 1)

This book is the best choice for you to learn python. Facing the book, focus on learning numpy and Panda! It's not a big problem to clean up thousands of lines of data once every piece of code is knocked.

12 actual combat is written in r language.

R language introductory books, from data reading to the use of various statistical functions. Although it does not involve machine learning, it is more than enough to get started with R by this book.

Statistics: From Data to Conclusion (13)

This book is a combination of R language and statistics. You can brush up your statistical knowledge with this book.

/kloc-version 0/4 simple SQL

Take you into the core of SQL language, from using basic query syntax such as INSERT and SELECT to using core technologies such as subquery, join and transaction to operate the database. When you finish reading "Simple SQL", you can not only understand efficient database design and creation, but also query, standardize and connect data like an expert. You will be the real master of the data.

Introduction to 15 data mining

This book is definitely a conscience textbook. When you read the first chapter, read as much as possible. But read as much as possible, because you may have to read this book all your life ~ ~

Introduction to 16 algorithm Chinese version

This book combines rigor and comprehensiveness, and discusses various algorithms in depth, striving to make the design and analysis of these algorithms acceptable to readers at all levels. The algorithm is described in English and pseudocode, which can be understood by people with preliminary programming experience. Explanations and explanations should be easy to understand without losing depth and mathematical rigor.

All the books above are PDF versions.

Video teaching materials are:

Python introductory tutorial full version (those who know Chinese can learn).

Python tutorial full version (if you know Chinese, you can learn) video.

Mysql from entry to mastery of a full set of video tutorials

Learn more about python tutorials in 8 days.

Big data Hadoop video tutorial, from entry to mastery.

Python employment class

Python standard library (Chinese version)

Mathematical modeling 0 foundation from entry to mastery, a full set of resources

0 basic Python actual combat-realize the crawler system around you

Wheat College Signature Course [Star python Programming Video VIP Course] [200G] (worth 9000 yuan)