Big data major has become a hot topic. How to switch to a big data analyst?

Then I will reprint an experience of others switching to data analysis and post it to the topic:

Dear teachers and students of Gamigu College, first of all, thank you very much for your company during the five months from September 17 to March 18, and thank Mr. Zhang and Mr. Zhang for their patient guidance during my study. On the road of big data training, it is because of your efforts and companionship that I am very satisfied with the salary on the road of big data career today. Thanks again!

In the process of data analysis and mining training, I was most impressed by Mr. Zhang. His lectures were very clear, especially the PPT graphic theory, which made me a 0-based student understand in place, and I was worthy of being a member of the national big data standard group. Although I only had a short study time of five months, I personally gained a lot, which not only allowed me to enter the business smoothly from a small white, but also successfully interviewed the company recommended by Teacher Zhang and got my very satisfactory salary.

Teacher Zhang hopes that I can share some learning experiences with my brothers and sisters. Everyone is familiar with learning this matter, and everyone has experienced more than ten years of learning career. In particular, students who learn big data at the basic level must have a clear understanding of the big data industry before deciding to conduct big data training. I will only talk about five aspects below, from which my younger brothers and sisters can refer, hoping to help you.

1. Interest is the best teacher. Now that you have decided to learn big data from the foundation of 0, you must fall in love with it from the heart. Only when you are really interested can you have the motivation to learn it well.

2. Read more books. Preview before class is essential. Before class, the teacher will send you the courseware you talked about that day in advance. Be sure to take the time to read it carefully first, or you will find it difficult to accept what the teacher said.

3, ask more questions, if you are 0 basic learning big data, there is no programming foundation before, you must ask more questions when you encounter problems, and ask the teacher at the first time, which will not hinder your face. On the one hand, you can exercise your communication skills, and whether you can let the teacher know the problems you encounter in the most popular words (which is very helpful for your future interview). On the other hand, your current academic performance will also affect your future salary.

4. Practice more. The training programs at each stage of Kamigu College are very targeted, and they are all real projects from real enterprises. Practicing more 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 go to school, the same class, what the teacher teaches, why do some learn well and some learn poorly? The same is true for data analysis training. Why do some people get 18K salary after graduation, while others only get a few thousand? This is in direct proportion to your diligence. Please find your diligence. Come on!