In the large wave of data among the data analysis is the choice of this era, "Nuggets skills."
Each of us, all the time in the daily production data, within a minute, the amount of data on the microblogging more than 100,000 newly issued, b station video playback volume more than six million ......
These huge numbers, what does it mean?
It means a new means of wealth perhaps before, it's comparable to the value of oil and gold .
According to the US Mission takeaway takeout taste before you point the tendency to predict that you will take away points today, to recommend to you at home, improving order rates;
Real-time monitoring taxi drops will play several car needs a certain area, when the demand surge will be appropriate to raise the price of travel, allows the company to maximize profits;
Baidu will be based on the customer's recent search terms, linked to the electricity supplier to the customer site recently recommended products might need to buy, improve purchase rate ......
The more good managers, the more good companies to grasp the data, it is increasingly clear.
Because the data analysis can be directly fed back real business situation, almost all well-known Internet companies, we will have their own large data centers used to analyze the data available to the company's business units, auxiliary business decisions.
As more and more programmers and data analysis, CSDN background also been receiving a lot of feedback shoes:
A front-end: the effect of the test page, generate a variety of charts, but the owner said it was only superficial explanation, programmers need to do data analysis?
A back-end: the face of large data sets and complex calculations, Excel will people frantic, since the use Python to Excel wrote automation scripts operational applications, easy read deposit xlsx, csv file format and other data!
An operation and maintenance: Since the operation and maintenance of a Union data is deleted, Hr hiring requirements must be Python;
A product: since learned Python, daily data generation, is simply too cool ......
Can say whatever you do research and development, system architecture, or make products, operations, and even management, data analysis is its basic skills , it is no exaggeration to say that: data analysis capabilities, is workplace essential skills ! You can make your future career of at least 10 years of technical capability.
I deliberately recruitment website crawling from a senior recruitment needs :
From the industry point of view, finance, e-commerce, mobile Internet, the most popular and most promising industry has a great demand for Python.
From JD , more and more manufacturers in the recruitment of engineers requires Python data analysis skills, this post really fragrant!
How powerful Python data analysis? For chestnut:
With a few lines of code and data will be able to quickly sort out the map:
Even write synthesize multiple Excel spreadsheet Python script, copy and paste a key to skip:
You may wonder - since Python data analysis so easy to use is so important, how can I learn?
About programmers to learn data analysis, I do not recommend that you put the books out of the university to chew it again, do not spend a lot of time to say, the key is not combined with practical application, learn or will not use!
When we understand the new technology, usually divided into three stages:
The first stage is how to use ;
The second stage is what the principle is ;
The third stage is that why this is so .
Science data analysis, too, there are three stages, first with them, understand the principles, then know why.
Based on this idea, I recommend to you that the door is just over 20 days on the line, there are 1000+ students learning the "zero-based Python to get the number of data analysis and mining" . This door Lesson of the best-selling author by the Joint Institute CSDN data Liushun Xiang teacher joint research and development is completed, expected to address some of your questions on the data analysis.
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Practical part will cover more than 10 kinds of data cleansing cases, application graphical statistics show at least 15, and 10 kinds of mining algorithms.
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Currently worked for a large data consulting company, responsible for the implementation of business intelligence, data analysis and mining projects; served as the only product of large data Senior Data Analyst Officer, responsible for electricity providers to pay part of the data analysis business; once in the cloud like data consulting company as a data analyst, to provide project services for the association, Heinz, beauty farm, cafe net fishing nets and other enterprises.
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