What do data analysts need to master?
Data analyst is a high-paid and well-paid profession. But how can there be such a good thing under the sun? No one can be a data analyst. To this end, friends who have just started learning data analysts can start learning from these aspects:
1, programming language. When analyzing data, data analysts will definitely use programming languages such as Python or R. If you are a little white without any programming foundation, you can start with the most basic C, and then choose to learn Python or R.
2. Mathematics. Someone wants to say, "I started learning math in the first grade of primary school, and my math ability is definitely not a problem." Ahem, data analysis doesn't mean that you have to deal with the math problem that one plus one equals several. Now computers can do all these problems! As witty 2 1 century human beings, there are greater things waiting for us-dealing with matrices, calculus, integrals and linear algebra.
3. statistics. Statistics uses a lot of professional knowledge in mathematics and other disciplines, and its application covers almost all fields of social science and natural science. Data analysts use statistical methods to analyze and interpret data ~
How do non-majors learn data analysis?
1. Understand the recruitment needs of enterprises for data analysts.
What skills do people need to become data analysts needed by enterprises? Before you start your study tour, you can browse the major recruitment websites and see the recruitment requirements of major companies for data analysts. What kind of software you want, what kind of skills you have, and the recruitment requirements are clearly written. Pay more attention to the recruitment requirements of enterprises, and you will know what to learn.
2. Find learning resources related to data analysis.
There are thousands of learning tutorials for you to choose from online. You can search on major platforms such as Mile Mile, Zhihu and CSDN. (PS: It's better to buy a bottle of drink than a dish. Our Tik Tok account of Bo Weifeng also has an audition course specializing in data analysis, which is great ~)
However, spending a few months studying data analysis can really get you started, but that doesn't mean you don't have to learn it in the future. Excellent data analysts must know how to keep pace with the times and supplement their data analysis knowledge in time.
3. Find an internship in data analysis.
Friends who have just graduated or are in school can try to find internships related to data analysis. A lot of data analysis can be strengthened during the internship. Be thick-skinned and ask Daniel more. When you really work, you will find that many problems of the enterprise need you to deal with, instead of asking questions for the enterprise.
Attention! Internship must not care too much about the salary given by the company. An internship that can learn something is a good internship! Some companies do offer high internship salaries, but either they will let you do a lot of work that has nothing to do with data analysis (sorting out documents and buying coffee); Either he is very demanding of your data analysis ability, but if you are very capable, you still get an internship salary, which is unfair. Therefore, even if it is an internship, you should keep your eyes open and look for it ~
4. Choose the industry you are interested in.
Data analysis will be used in all walks of life, and you can choose your favorite industry for in-depth analysis. If you like playing games, you can choose to be a data analyst in a game company. Similarly, if you are a girl who loves beauty, you can choose the fashion clothing industry.
5, combined with your professional study data analysis.
Is the professional knowledge learned in college really completely useless? Not necessarily. For example, your major in university is logistics management. When you have mastered the ability of data analysis, you can consider applying for a job in a logistics company and study how to deliver express delivery to customers faster. Isn't it delicious ~
6. Make friends with the great god of data analysis online.
No data analyst will be a 2G teenager like Vin, and more should be a 5G surfer like Ding Yuxi. People can become friends even in the online world because their hobbies are consistent with their life choices. So is data analysis. When you throw a question on the Zhihu platform, many people will reply to you.
The above is what Bian Xiao sent to you today about "How does zero-based Xiaobai learn data analysis?" I hope it helps you. Want to know more about data analysis and artificial intelligence job analysis, and pay attention to the continuous update of Bian Xiao.