Liberal arts students, career change programmer or IT industry is possible, 0 basis? __ Programmer

First reason: Grassroots it work is most like student life. The work of liberal arts students will seriously discourage students ' enthusiasm. Other areas are unfamiliar, take the example of data analysis.

There are two students in the same company. One is the data specialist for the IT data group and the other is the marketing specialist in the sales department. One day, the leader of the marketing department arranged a task for Xiao Ming: we need to prepare a promotional event for our members. The original aim was to reduce the membership by 300 to 50. So Xiaoming began his busy work, and his work was probably as complicated as the following figure:

This is the real life status of the marketing director. We imagine that marketing is actually a group of people wearing suits, round and say some inspiring words every day. But in fact, they are basically running errands, being scolded by the leaders, and going through the paperwork every day. Especially for large companies, the top 500 market sectors are particularly serious. The Division of labor is very good, everyone is a screwdriver. Small companies may be better, less people, they want to do what they do, but the professionalism is rather bad. What's even more annoying is that it happens many times a year. In each event, Xiaoming was messed up. What, where the target is. Where it grew up.

A sharp-eyed classmate, Ai also wrote a demand list:

Demand was sent to Xiao Ai, Xiao Ai gave Xiao Ming a phone confirmation question, and then he started his work, his process may be like this (as follows):

Then compare Xiao Ming's work diagram, we feel the great difference between them. We probably know why grassroots it work has a spiritual advantage over grass-roots liberal arts. In fact, in many large enterprises, the 500, the market, operating departments pay is not low, but this is not enough, so that the grassroots arts students formed a psychological advantage, right here.

Without the sense of skill upgrading, no obvious progress, no objective criteria, the development of liberal arts students is extremely difficult. In addition, it is the leadership that leads them to doubt the future: how can I be a leader without objective assessment and leadership.

By contrast, the students who did it became clearer. Before it will only go beyond, now will be SQL, tomorrow Learning Python, no project to do in-depth study. Never mind. Kgle copy it, the code data is not too small. On the other hand, colleagues in this circle are constantly sending out artificial intelligence people who are snapped up to convince them of their choices. Code, young man.

Is this model similar to our school model? When we were young, we received the exam-oriented education: Textbook compilation of Exercises and standard answers, in practice, who did the problem is difficult to score high, the examination table without communication, no cooperation. Parents and teachers assured us that if we can go to XX University, we can reach xx.

Change the textbook into:

"21-Day mastery of Excel"

"21-Day mastery of SQL"

"21 Days of Python"

"21 days of further study"

"21 days to master the development of artificial intelligence industry"

Change the commitment of teachers and parents, let me know how to turn to the data analyst is the biggest driving force for the transformation of liberal arts students. 21x5=105 days, whether you really can learn, 105 days to study hard, final exams, oh, no, the last interview is successful. This is one thing that meets the expectations of the students.

Is it good for this change? Just say cold and warm. I've just entered the workplace, starting with data analysis. Over the years, I've climbed from a basic position. I know how many holes there are. For example, a student's little AI may have a data analyst title, but is he doing data analysis? A knowledgeable man can see that he is only counting. Although he does not have a few figures, what are these figures? The number of these figures is related to the purchase of 300 minus 50. Little Ai didn't know at all.

This is the beginning of the analysis to know why the numbers run. If you keep doing this, maybe in a few months, Ai's enthusiasm will fade away, run to know how to do data analysis, but the business unit always has some machines, how to do. Even if he tries to read "From the beginning to the depth of mastery", the result will be how vulnerable the model is to the actual data. If you want to change your job, you will be disgusted by all kinds of experiences.

All students who have done data mining know that one project is 65% of the time to clean up the data, 30% of the time to reduce the expected value of the business side, the remaining 5% will be a serious model. I was in the first two years, often by a variety of garbage data driven, modeling requirements, customer results, business Department of several words to redefine the problem, help us solve the problem. So repeatedly, I doubt the technology is worth it.

Here, we won't talk about it. There are too many pits. So much so that in the crater, there are too many technical students and business PK,PK to finally be more professional than the business, and then go out of the technology to manage the route. This is a drop of water. That's what I did. In a word, it's not easy to change your career.

PostScript: For most of the people who change careers, to find the opportunity to make their own basic knowledge, while working side to complement the basic knowledge, is really important.

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