
I am Ruofei:
I graduated in 2019, when I went to a public institution in the aviation manufacturing industry, because I didn't like the job, and I didn't like the day when I looked at the end, I just started to change jobs.
During this period, in order to choose a career direction that suits me and is also interested in, I took many detours. Finally, in April 2020, after careful consideration and comprehensive evaluation, I decided to do data analysis related work in the digital age, and regard this as a long-term career development direction.
Making a decision is easy, but putting in the effort for it is hard.
Due to the lack of friends around me who can analyze data, I can only aimlessly search for how to and teach myself on the Internet at first.
From April to October, I went home every day after work to teach myself, learning grammar and typing code on the tutorial, but I always felt that I couldn't find the direction and the progress was very slow.
The most important thing is that I lack practical project experience and can't even make a resume, let alone go to the interview.
And those data analysis project courses on the Internet, often tens of thousands, make me prohibitive. During that time, my mood was very depressed, both anxious and powerless.
In November, I finally had a turnaround. That's when I was brushing the questions, I saw the "Illustrated SQL Interview Questions" written by the monkey teacher.
At that time, I thought that someone could actually show the SQL solution idea so clearly with the diagram, and then I paid attention to the monkey teacher's male number, and tried to join the teacher's data analysis training camp (primary), anyway, only a few hundred dollars, compared with other training camp prices, very conscientious.
Monkey Teacher's training camp is set up in the form of a breakthrough, first learning video lessons, in the course of the class I comb through the way of taking notes, drawing mind maps to sort out the knowledge points.
Then there will be practical cases, this step is particularly important, you must do a case yourself, submit the homework to the training camp, the teacher and the assistant church comment on the homework, and constantly improve according to the feedback. It is also necessary to study and refer to the excellent work of other students in the group, absorb excellent ideas and ideas, and use them for their own use.
Theory can only be deeply understood in practice, in this process, there will be a lot of unexpected problems, we must learn to try to solve themselves first, refuse to be a party, only in this way can the knowledge points be integrated.
Also, communicate more in the boot camp community to feel like you're not alone.
In this way, after two months, I finished the training camp (beginner) and felt that I had a systematic understanding of data analysis for the first time, and I gained a lot.
Therefore, I resolutely signed up for monkey teacher's SQL training camp and Python training camp, and continued the previous learning method and learning status, and insisted on learning all the courses in less than 6 months.
Since I work during the day and study at night, I really need to constantly encourage myself to stick to it. Give you a small tip, every time you submit an assignment, after a level, buy yourself some delicious food or a small reward, it works very well.
At the beginning of April this year, I began to submit resumes in Liepin, Zhilian, and Boss Direct Recruitment, targeting the e-commerce industry.
I interviewed 6 companies before and after, including large factories such as Meituan and Xiaomi, as well as some small companies. The format is mostly interviews, and there are fewer written tests.
In the interview questions, SQL must be asked, especially window functions, after reading the "Illustrated SQL Interview Questions" tutorial, these interview questions can be completely solved.
Basic statistical knowledge (various statistical distributions, hypothesis testing, etc.) and commonly used data analysis methods are basically asked.
It is recommended that after receiving the interview, it is best to postpone the interview time by one or two days, so that you can leave yourself with sufficient preparation time.
In the process of preparation, you can also review the knowledge points you have learned before, and it is best to think about the questions and corresponding answers that the interviewer may ask in advance and organize them into electronic or paper documents, which I call "interview treasure book".
Don't expect too much from the first few interviews, set your mind straight, and treat the interview as a process of accumulating experience and learning.
After each interview, you must review, check the information for the questions that are not answered or the questions that are not answered ideally, and constantly improve and enrich your "interview book".
With the increase in the number of interviews, you can basically answer the interviewer's questions like a stream.
After a month-long job search, I managed to get 2 offers in May, and all the efforts had an answer at this moment.
Here I would like to thank my boyfriend for his encouragement and companionship, every day after work, my boyfriend and I are learning, this state of working together to move forward is the most beautiful and solid love.
Now that I have been working in the new unit for a month, the working atmosphere and work rhythm are completely different from the previous public institutions.
I also realized that the knowledge I had previously taught myself and the abilities needed at work were indeed far from the same, and there was too much to learn, and the colleagues around me were very strong.
But I am not afraid, since I have chosen, I must persevere. Now every day is improving, career and life have new possibilities.
To those who want to change the status quo and break through themselves like me, I would like to say a word: Because of love, so work hard, because of hard work, so I must love more.
The above content is from the job search experience shared by the "Monkey Data Analysis" trainees, source: ⠀
https://zhuanlan.zhihu.com/p/373313203
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