If it is applied to data analysis, the manifestation
Knowledge Knowledge: "Mathematics", "Statistics", "Management Science", "Operations Research", "Machine Learning"
Skills Skills: excel, ppt, sql, python, tableau, hadoop, spark...
Abilities: Requirement communication, user insight, logical reasoning, experimental design, summary report...
Interestingly, if you look closely, you will find that data analysis is the business email list only job in which KSA's knowledge base is full. Generally speaking: business jobs, such as sales, products, operations, and marketing, are more A, and KS is relatively less; R&D work is more KS, and A is less. And data analysis happens to be sandwiched between business and technology, and both sides are involved. So as long as you want to learn, KSA has tons of books to learn (pictured below).
This led to a funny thing: the classmates who entered the industry were always eager to read books, and bought dozens of mad learning one pass, but the result was not important, and could not remember, and the interview was a mess. After business email list I came back, I didn't try to sum up: What abilities do other people want from me? Continuing to go online and ask: "What book should I read for data analysis?" Then I bought more
books and came back! As a result, the more I learn, the more confused I become.
You must know that the gap between data analysis and data analysis is much larger than the gap between data and operations, products, and R&D. If you don’t carefully study the requirements of the target company for your job search, you don’t distinguish which part of the interview you are in, which type of questions you are hanging on, and if you study with your eyes closed, the more you learn, the more confused you will definitely be. If you can do enough homework, you can at least know which problems you lose, so you can better prescribe the right medicine (as shown in the figure below).