AI Open Class] How can "data analysis", the basic literacy of Internet professionals, be reshaped by AI?
Nowadays, many things can be handed over to AI, such as data analysis that many people find "a headache", those difficult-to-remember formulas and functions, and difficult-to-process table cleaning... We HE Tuber all have content related to data analysis capabilities. This can be done with reasonable use of AI. Let’s take a look at the sharing of this article.
Today's entire Internet has two bases: one is code (code) and the other is data (data).
No matter what position you hold in the Internet industry, you will more or less need to process some data, do some analysis, and draw some data-based conclusions.
If you just slap the forehead, it will only be a matter of time before the car overturns and gets screwed up.
I have been a data consultant for 3 years and have some insights into “data thinking”:
This thing is often a metaphysics.
With so many fields, it is difficult to ensure that every analysis can be fully taken into account.
I believe that Tiezi, who has tried to learn data analysis, also feels this way.
The so-called senior data analyst, the senior thing is that he has developed the feeling of "knowing how to analyze at a glance".
This feeling is difficult to describe comprehensively.
This makes it difficult for students who want to learn and master data analysis skills to find teachers who can teach them; but if you gradually develop them at work, companies are not willing to wait for you...
Now there is a very good solution to this problem: use AI.
Below is an analysis I asked AI to do for me on an investment and financing data. It can already read the data table on its own and then research what it can analyze.
Of course, it’s easy to analyze the data and present conclusions in the form of graphs:
In addition, the "data collection" that you are too lazy to copy and paste, table cleaning that is very troublesome to process, various formula functions that cannot be remembered, and repetitive and mechanical number filling can now be left to AI.
If you want to have data thinking, want to use AI to help you get rid of complicated data processing, and want to use AI to do more comprehensive data analysis,
Sign up now for the "AI Reshaping Workplace Competitiveness" series of open courses on November 28 .
Like the previous open classes, everything starts from scratch, and then everyone is given enough knowledge to do it and prompt words to "copy homework" directly.
