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What to learn about python data analysis

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2019-06-12 13:18:133920browse

What to learn about python data analysis

What do you need to master for python data analysis?

Programming Basics

If you are a novice with no experience in programming, then first you should master a certain programming basics (especially if you are switching from other industries to Friends in the IT industry). For novices, bloggers believe that Python language is the best choice. As an interpreted dynamic high-level language, Python is easy to understand and easy to get started, making it very suitable for beginners to learn. A recommended book for quickly getting started with the Python language: Concise Python. The original English version of this book is "A Byte of Python", which was translated into "Concise Python". The blogger has also recommended it to many people. After reading it, everyone basically agrees that it is the fastest and most effective book for getting started with Python.

If you already know the basic usage of Python programming and want to continue to learn Pyhon in depth, then the blogger recommends you to read: Liao Xuefeng Python Tutorial. It basically covers all the knowledge from entry to proficiency in Python programming. If you can understand this thoroughly, then it can be said that you have mastered the Python language.

After learning the theoretical knowledge of Python, of course you need to apply it and practice it. The blogger previously shared an article that is a practical project for Python beginners. It is very interesting and easy to implement.

Basics of data analysis

Put aside the basic understanding of the business level, to learn data analysis well, you first need to understand statistics. Statistical analysis is the basis of data analysis. Also the soul. The blogger below lists several core contents of statistical analysis:

1. Descriptive statistics, statistical inference, probability theory;

2. Sampling, distribution, estimation, confidence interval, hypothesis testing;

3. Linear regression, time series;

SQL language

Recommended learning path for learning SQL:

1. php Chinese website

2.w3school

3.SQL must know and know

Excel basic operations

as An excellent spreadsheet processing tool from Microsoft, Excel is also something that data analysts need to master. Because many non-technical staff in other departments of the company do not know how to use programming tools, but use relatively simple Excel to process some reports. At this time, you may need to do some data analysis work in Excel and then give feedback, but you don’t have to go too deep, just master the core functions, such as:

1. Add, delete, modify, and check

2. The use of various common functions

3. The production of various basic icons

4. Pivot tables, etc.

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