Gold three silver four job hopping season , What position is the most popular ?
have a look byte 、 tencent Such as the salary offered by big manufacturers to their own data analysts , You know how hot this position is .
The salary of data analysts is so high , Is it really because it's difficult to do data analysis ? Of course not. ! Compared to writing code , The skill threshold for data analysts is much lower , Even if you only need to be proficient in a few analysis tools , You can get to the big factory offer. For example, others make a visual chart and hold it for a long time , And you use Tableau In a few minutes ; Others analyze website data , The results of half a day's analysis may not be accurate , And you use Python Issue a professional report quickly ; Data that others haven't queried for hours , Do you use SQL In a few seconds, the execution is complete .
This is also one of the most concerned issues that many people want to switch to data analysis , For zero based people who want to change careers in data analysis , There is a certain degree of difficulty , But it's not impossible .
Today, , Big data has been extended to all walks of life , The demand for talents in the field of big data has increased significantly , High pay , Good treatment , Attracted a lot of people , Among them, big data analysis , Is a very good choice , So what skills do you need to engage in big data analysis ?
The abilities required for data analysis are :
1、 The data processing 、 Data processing
2、 Business translation 、 Is to put the business needs 、 Business objectives are translated into data modeling methods
3、 programing language 、 master SQL、python、SAS、R, etc.
The books I want to share with you here are 《Python Basic course of data analysis :NumPy Learning Guide ( The first 2 edition )》, According to Xiaobian for many years python Development experience , This book is the first choice for zero basic introduction data analysis .
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The book is NumPy Getting started with , This paper mainly introduces NumPy And related Python Scientific Computing Library , Such as SciPy and Matplotlib.《Python Basic course of data analysis :NumPy Learning Guide ( The first 2 edition )》 Content covered NumPy install 、 Array objects 、 Common functions 、 Matrix operations 、 linear algebra 、 Financial functions 、 Window function 、 The quality control 、Matplotlib mapping 、SciPy Introduction and Pygame The content such as , It covers a wide range . in addition ,Ivan Idris A brief and clear example is given for each knowledge point , And give a practical scenario for most of the examples ( Such as stock data analysis ), While helping beginners get started , It improves the readability of the book .
The reason why it is recommended is that the book is based on actual combat and supplemented by theory . Start with a very simple concept , Gradually integrate various examples of hands-on practice .
Don't talk much , Show it directly :
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