A lot of new people to join us every day package data exchange Group, part of the statistics, computer-related professional students, want to learn more about the development of data analysis, preparation for future work, and part of the initial involvement of the data of friends (including career change) to come to counseling, no relevant expertise can learn data analysis Below we have a small set of the holy people to take a look at different backgrounds of friends how to choose the data direction. How to learn the data analysis.
The data-related occupations, which have roughly 3 career routes, are market research direction, data analysis/mining direction, data engineer direction, these 3 routes, respectively, corresponding company and skill tree.
Market research Direction
I have a lot of friends. Non-math/computer/Statistics Graduate friends are going this direction, data-related, non-technical routes, more biased towards the market direction, the technical requirements are only Excel, PPT, the most requirements of SPSS, very few requirements will write SQL. This route looks taller and can take the foreign company route.
Data analysis/Mining direction
Data analyst direction, a lot of reading math, statistics, computer shoes will choose this direction, the ultimate goal is to become the head of the data center. There are 2 forks in between, one is from data analyst to data Product manager, this route is very popular recently, mainly combine the ability of data analysis and product manager. One is a bit of a tall data mining direction, this route is relatively high, but the salary is also high. Of course. Data mining routes are the dream of many data analysts, but the ability to implement algorithms and code is not always available.
Data Engineer Direction
The direction of the choice of code agriculture, after graduation can be based on their own interests to choose the ETL, operation, visualization, the required ability is different.