The first stage: initial data analysis
This stage is your first month of studying data analysis. The three core books are: statistics, R in action, and data analysis in a nutshell.
The first week: read textbook statistics well. According to three hours a day, you can read at least eight chapters a week. After reading it in a down-to-earth manner, there is no need to do exercises after class. The key point is to understand the derivation of formulas and the definition of professional names.
Week 2: With the foundation of statistics, learning R language will not be too difficult. R in Action is recognized as a classic textbook of R language. Seriously follow the code in the book, you don't need to read the whole book, you just need to study the first 8 chapters or so. You will have a deeper understanding of statistics after learning it ~
Week 3: Data Analysis in Simple Terms is a big book, not because it has a lot of content, but because it has a lot of nonsense and illustrations. An interesting introductory textbook. Spend a week reading carefully and studying as much as possible.
The fourth week: check for leaks and fill gaps. After studying for the first three weeks, you must have many doubts or forgotten some knowledge. Don't worry, this week is to review what you have learned this month, definitions you can't understand, codes you can't type, and knowledge that Google can't understand ~
The second stage: improve your skills.
The first month only gives you a preliminary understanding of data analysis, and you can already kill about 20% of people (I guessed)
This month is to improve my skills and make a sublimation on the basis of existing knowledge. This month's task is heavy, and there are many places for small partners to use their brains.
Week 1: Introduction to Data Mining is definitely a conscience textbook. After you get it, start reading from the first chapter and read as much as possible in a week. But read as much as possible, because you may have to read this book all your life ~ ~ Don't take notes, because most of the notes you make are copied books, which is meaningless. Data mining is not a memory thing, it depends on understanding!
Week 2: Come on, come on, python Law School. As the saying goes, life is short, so I use PYTHON. Don't ask such a bad street question: which is better, R or Python? When you learn, you will never ask this question again. Using PYTHON for data analysis is the best choice for you to learn PYTHON. Facing the book, focus on learning numpy, panda panda! By the way, you should also learn how to install PYTHON, which is also a technical job!
Week 3: Why do you feel that you have learned nothing in the first two weeks? What a mess! Nothing. It's normal. Do you hope to finish the study of data mining in two weeks? Here, you have some basic knowledge of Python, statistics and data mining, so can you talk about their combination and use? Scikit-learn, you deserve it. It doesn't matter if you don't understand them. Let's look at their documents and those inexplicable professional words first. Then continue to study your data mining and PYTHON.
Week 4: Repeat the content of week 3. By the way, shouldn't you do something about R?
The third stage: preparing for small graduation.
The first two months will be very painful, very tired and very irritable! Don't worry, you finally came in the third month. This month is completely different from the previous two months, because this month will be more painful! !
This month, we need to start learning sql. SQL is absolutely a necessary skill for data analysts, and there is no one. As a universal language on this planet, its existence greatly improves the efficiency of data processing. Now that you have learned SQL, learn mysql, which is a data storage thing. Do you think it's important? These two are not difficult to learn. Getting started takes a little effort.
The focus of this month is to repeat the work of the second month and continue to learn statistics, data mining, PYTHON and that lovely R language. Don't forget magic skills: scikit-learn.
By the way, if you want to send a resume to an Internet company, remember to read the book Network Analysis carefully. Trust me, you can beat 80% of the interviewers by reading it once. Because they look down on GA.
You see, it is not impossible to get started as a data analyst in three months ~ ~ I dare say that the knowledge you have learned in these three months can already beat more than half of the so-called data analysts ~ ~ Don't ask why, just do it! !