Change career data analysis, please do these five points (shared by veteran students)

Dear teachers and students of Gami Valley College, first of all, thank you very much for your company during the five months from September 2017 to March 2018, as well as Teacher Zhang and Teacher Zeng for their patient guidance during my study. On the road of big data training , it is precisely because of your hard work and company that I have a salary that I am very satisfied with today on the big data career path. Thank you again!

In the process of data analysis and mining training, I was most impressed by Mr. Zhang. Mr. Zhang's lectures were very clear, especially the PPT graphic theory, so that a 0-basic student like me could understand it well. member. Although there is only five months of study time, it is very rewarding for me personally. Not only did I successfully enter the industry from a novice, but also successfully interviewed for the company recommended by Mr. Zhang, and got a salary that I am very satisfied with.

Mr. Zhang hopes that I can share a little learning experience with the younger brothers and sisters in the future. Everyone is familiar with learning, and everyone has experienced more than ten years of learning. In particular, students who have switched to 0 basic learning of big data must have a clear understanding of the big data industry before deciding to conduct big data training. I will only talk about 5 aspects below, and the younger students in the future can use them as reference, and I hope it will be helpful to you.

 

1. Interest is the best teacher. Now that you have decided to learn big data from 0 basics, you must fall in love with it from the heart. Only when you really care about it can you be motivated to learn it well.

2. Read more. Pre-class preview is indispensable. Before class, the teacher will send you the courseware taught on the day in advance. Be sure to take the time to read it carefully, otherwise, you will find that the content of the teacher is very acceptable to you. strenuous.

3. Ask more, if you are a zero-based learning big data, you have no programming foundation before, you must ask more questions when you encounter problems, and ask the teacher as soon as possible. , whether you can use as simple words as possible to let the teacher understand the problem you have encountered (it will be very helpful for your future interviews), on the other hand, the current learning results also affect the future salary.

4. Practice more. The practical training projects at each stage of Gami Valley College are very targeted, all of which are real projects from real companies. More practice now will be very helpful for future interviews and work experience.

5. Diligence, this is very simple to say, people are lazy, just like when we were in school, in the same class, the teachers teach the same things. Why do some study well and some study poorly? The same is true for data analysis training. Why do some people get 18K salaries after graduation, while others are only a few thousand? This is directly proportional to your own level of diligence. Everyone please find your own diligence point, come on!

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