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# System prepended metadata

title: 'Week 1: Monday (November 16th 2020)'

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# Week 1: Monday (November 16th 2020)

#### Afternoon:
1. What is data?
2. Kind of data:
    - Qualitative: descriptive information, used to describe events, or objects in the events (images, text)
    - Quantitative:
        - Discrete
        - Continuous

    - Example:
        - Qualitative data: 
            - the girl is crunching the pencil
            - The color of the hair
            - the color of the shirt
            - the computer type

        - Quantitative: 
            - number of pencils
            - number of color of the pencil
            - number of eyes 
            - the length of the hair
    - Discussion:
        - Why do we need data?
            - Data is the new oil
            - Data is used to understand the insight of some thing (process, customers, economy etc...)
        - How can we collect data?
            - sensors (in machine, production process)
            - surveys/ interviews (behaviors, customers tastes)
            - camera 
            - recorder
        - Census vs Sample
            - Census: the entire population, costly to collect, not real time
            - Sample: collect a subset of the population, but needs to randomly take the sample to make sure the sample representative of the population, avoid bias when sampling
        - Structured data vs Unstructured data:
            - Structured data: well formatted, have proper columns and rows, have clear definition of data types 
            - Unstructured data: voice or audio data, text data from newspapers
    - Data Science: extract insights from data
    - Machine Learning: program computers to solve some tasks without explicit setting out the rules by programmers
    - ML classification: regression, classification
    - How does ML work? 
        - Traditional SW workflow: programmers define the rule, evaluate the software performance, then adjust or update the rule
        - ML: let the computer learn to solve the problem by giving it enough data

# Week 1: Tuesday (November 17th 2020)

#### Morning:
- Python basics

#### After:
- Python basics (cont)

# Week 1: Wednesday (November 18th 2020)
#### Morning:
- Python basics

#### After:
- Python basics (cont)

# Week 1: Thursday (November 19th 2020)
#### Morning:
- CLI/ Bash



# Week 1: Friday (November 20th 2020)
#### Morning:
- HTML
    - Tag syntax: 
    <h1>
    This is an example of tag h1
    </h1>
    - <tagname attributename="attributevalue">content</tagname>
    - <p class="foo">This is a paragraph in a p tag class foo</p>
    - tag p takes the entire span 
    - tag span takes only the width equal to the content 

- CSS (Cascading Stylesheets)
    - CSS code inside an HTML tag
    - CSS code inside an HTML document
    - CSS code in external file style.css (preferred)

- Semantic tags for HTML:
    - header, nav, main, article, footer

- 