What techniques should python data analysts learn?

Today, I would like to share with you the relevant knowledge points about which technologies python data analysts should learn. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article. Let's take a look.

1. Skillful use of mainstream tools for data analysis

You need to learn the basic syntax of Python, data containers, using functions, logical judgment, and file manipulation from 0.

2. Core skills of database and data collection.

To learn the use of mainstream databases, and understand the concept of databases. Be able to build a structured database independently and have the ability to deal with the operation and query of a large amount of data in the database

3. High-level framework of data analysis

Skillfully use scientific computing library Numpy, data analysis library Pandas, data drawing module Matplotlib, visualization library Seaborn to deal with complex problems.

4. Actual business capability and business analysis

Need to clarify the actual business scenario response and data analysis methodology, familiar with the Internet business model.

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