Many students complained: "There is no idea when doing data analysis!" In fact, there are many reasons for this result. Check out the system today. In some cases, it is the problem of the data analyst himself, and there are three common ones: Question 1: Whatsapp Database Find the nail with a hammer There are many methods in mathematics, statistics, and operations research, and reading the book itself can make people feel fulfilling. Whatsapp Database As a result, some students who were fascinated by reading books began to look for nails with hammers.
For example, seeing the statistical normal distribution today is so cool, so everyone looks like a normal. I will see the chapter on regression analysis Whatsapp Database tomorrow, and everyone wants to come back... Doing so will get you into trouble. For example, some students calculate the benefit of the activity, instead of regressing the activity cost Whatsapp Database and total performance, and then looking at the R-squared value and saying that the activity has no effect. As a result, it was naturally sprayed with business. Moreover, I didn't really understand the book by doing this.
If I did, at least distinguish: Is it sampling Whatsapp Database statistics or overall statistics? Is it a prediction problem or a classification problem? is marked but not marked Is there any inherent logic to the data at hand? In-depth business scenarios, to know which Whatsapp Database method is suitable for the book. Various book methods have fixed application scenarios. Why do you have no idea for data analysis? Question 2: Cover your feet with shoes This is the brother of the previous kind of problem, they are all nerds, but the book has been changed from "Statistics" to "Management":