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Data analysis with Python
Why python
for Data analysis?
- what values the analyst extracts
- what the analyst want to get from data analysis
- whether the analyst can make the right decision
The process of data analysis
- data collection (using open source/crawling …)
- data exploration (EDA methods with python)
- data preprocessing (using raw data or feature engineering)
- data modeling and feedback
- The most important thing: use the proper tool according to the purpose of data analysis
- Need to know why you analyze the data and which functions are required
Python
- A kind of programming (command to a computer with some specific language) language as interpreter language (executing line by line)
- For communication between a human and computer
- readability: easy to recognize and read codes
- open source for python code: libraries and modules (e.g. numpy, pandas …)
- automatically management of a memory in a computer
- variables in python codes = space to save some data