Training Content

    1. Content of training

    2. Getting Google Colab and GitHub accounts

    3. Python packages/libraries

    4. Assignment 1: Add GitHub user and collaborator

    1. Upload data: yfinance(yf), yf.download, head, info, describe

    2. Clean up data: delete row/column, add column, change name, iloc

    3. Drawing a graph: plot, plotly.express(px), px.line/bar/scatter

    4. Coloring the graph: diff, if, lambda, shift

    5. Drawing histogram: px.histogram

    6. Assignment 2: first review of share prices

    1. Merge table (column): merge, plotly.graph_objects(go)

    2. Exploratory analysis: pandas - matplotlib - numpy

    3. Working with Jupyter notebook: restart and warnings

    4. Join table (row): for loop, dataframe, concat, rename

    5. Deriving field: loc, find-replace

    6. Drawing graphs

    7. Assignment 3: adding rate and period

    1. Summarize data: strftime, pivot_table

    2. Sampling data: resample

    3. Assignment 4: monthly clustering

    1. Scraping data from the web: requests.get, beautifulsoup, read_html

    2. Join data: str, set_index, reset_index

    3. Last word
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