What do python data analysts learn?

Today's Internet is growing rapidly, generating a lot of data every day, and that data is always generating tremendous value.

Data analysts discover value in data that you will be exposed to, both in life and at work.

Essential skills for data analysts:

1, skilled use of data analysis mainstream tools

You need to start at 0 to learn Python basic syntax, data containers, using functions, logical judgments, and file operations.

2, database, data acquisition core skills

Learn to use mainstream databases and understand the concept of databases. Able to build a structured database independently, with the ability to handle large amounts of data in the database operations and queries

3, data analysis advanced framework

Expertly use the scientific computing library Numpy, the data analysis library Pandas, the data mapping module Matplotlib, and the visual library Seaborn to solve complex problems.

4, practical business capabilities and business analysis

There is a need to clarify the practical business scenario response and data analysis methodology, familiar with the Internet business model.

That's what python data analysts are going to learn from the little compilations that you've compiled. the whole content.