First of all, the ultimate goal of data analysis is to promote business transformation and growth. Therefore, although data analysis requires excellent data generation technology, the core requirement is the ability to understand business.
If you want to change careers, you can start with your professional background, work field and experience. First find the combination of your current major or industry and data analysis, and consider starting from this aspect.
In this way, I already have an understanding of this field, as long as I concentrate on learning technical knowledge. For example, if you used to do operations, you can consider operations+data analysis. If you used to work in education, try to choose an education-related industry when choosing a company.
Secondly, if you find the combination point, then you have the direction to work hard, and then you need to concentrate on improving your data analysis ability.
-Basic theory
Big data analysis introduces statistics on the basis of mathematical knowledge. Basic knowledge includes mathematics, linear algebra and so on. These are the cornerstones that determine the development height of the data analysis profession.
Primary data analysis can only describe the relevant contents and formulas of statistics, but to go further, we need to master more knowledge of statistical algorithms and even machine learning, and the work related to algorithms needs to learn advanced numbers in depth.
-Analytical tools
Excel is one of the easiest data analysis tools to use. You must be proficient in functions, pivot tables and formulas. In addition, it is best to have professional statistical analysis skills, and SPSS is excellent as an introduction.
Processing data is bound to contact the database, so you should master the basic skills of adding, deleting, modifying and searching SQL. You can learn some mainstream tools, such as Python or R language, and some industries will use SAS or other tools, which can be selected according to the industry.
Finally, after mastering these skills and strengthening some other abilities, everything will be ready!
-Communication
Data analysis will involve a lot of communication with business and technical departments. After the report is made, you need to show and convince others to accept your results. Therefore, the ability of coordination and communication is also one of the most important qualities.
-Learning ability
Whether it is data analysis or other positions, you need to have the ability of continuous and rapid learning, learning business logic, industry knowledge, technical tools and analysis framework. ...
The above are Bian Xiao's views and suggestions on career change data analysis, hoping to help you.