Introduction to Python: Data Structure and Data Exploration

The main goal of this lecture:

Part one: class organization

1. introduce everybody in the class
2. talk about the syllabus

Part two: programming

1. install Anaconda (install python and jupyter notebook)
2. call jupyter notebook in the terminal
3. learn about 'pip install XXXXX'
4. load dataset into jupyter notebook
5. start data exploration analysis with jupyter notebook (mean, max, min, summary, average, boxplot, frequence distribution)
6. what to do with missing data (identify them, delete them, or replace them with average)
7. write data into a new file
8. learn about data structure (Lecture_One_Data_Structure.ipynb)

Part three: project management

1. start a new project in github (nameing: Project_lastname)
2. upload the new files into github
3. start writing proposal in github