Basic Data Science Lessons for All!!!
This lesson will based on the following free only courses:
- Microsoft: Data Science for Beginners 10 weeks 20 lessons package...
- IBM: Python for Data Science 20 hours course for beginners, Python and Data Science: Python basic related to data science.
- IBM: Data Analysis with Python 3 hours course for beginners
- IBM: Data Visualization with Pyton 4 hours course for beginners
- Google: Data Sciense with Python 8 hours course for advanced users, 13 modules.
The repo Jupyter Docker Stacks has a various list of docker images for running Jupyter Notebooks. It is a very good choice for local development.
Check the page Select an Image to select the image you need. For this course we will use jupyter/scipy-notebook.
Set up the docker compose folder.
mkdir -v ~/rd/myworkshopca/DataScienceBasic/docker
touch ~/rd/myworkshopca/DataScienceBasic/docker/README.md
touch ~/rd/myworkshopca/DataScienceBasic/docker/Dockerfile
touch ~/rd/myworkshopca/DataScienceBasic/docker/docker-compose.yml
Create the lessons folder
mkdir -v ~/rd/myworkshopca/DataScienceBasic/lessons
01 Defining Data Science
mkdir -v ~/rd/myworkshopca/DataScienceBasic/lessons/01-defining-data-science
04 A brief introduction to Statistics and Probability
mkdir -v ~/rd/myworkshopca/DataScienceBasic/lessons/04-stats-and-probability
# we need the data folder too
mkdir -v ~/rd/myworkshopca/DataScienceBasic/data
05 Relational Databses
mkdir -v ~/rd/myworkshopca/DataScienceBasic/lessons/05-relational-databases
07 python
mkdir -v ~/rd/myworkshopca/DataScienceBasic/lessons/07-python
mv -v ~/Downloads/notebook.ipynb ~/rd/myworkshopca/DataScienceBasic/lessons/07-python/panada-basic.ipynb
curl to download file from github
curl -L https://github.com/microsoft/Data-Science-For-Beginners/raw/main/2-Working-With-Data/07-python/notebook-covidspread.ipynb -o ~/rd/myworkshopca/DataScienceBasic/lessons/07-python/covidspread.ipynb