  Python for Data Analysis培訓

Introduction

Overview of Python and its Powerful Ecosystem for Data Analysis
Getting Started

Setting up the development environment
Installing Python, Numpy, and Pandas
Installing Jupyter
Pythong Programming for Data Analysis

Overview of Python syntax
Writing and running Python code
Working with Data

Importing a dataset
Cleaning the data
The Python Data Frame

Understanding data frames
Manipulating data in a date frame
Gaining Insights from Data

Summarizing the data
Generating reports
Visualizing data
Saving Your Python Code

Saving your code in a version control repository
Allowing others to access your code
Improving Your Code

Testing your code and fixing the errors
Tightening your code using an iterative approach
Taking Your Code to Production

Uploading your code to a website
Automating the executing of your code
Python Programming Best Practices

Summary and Conclusion