High School Data Science

A repo for teaching data science to high school students

verson 1: Apr 18, 2020.

https://github.com/aayancheng/HighSchoolDataScience | video introduction

There are 3 notebooks (about 30 mins each):

1. See the Data
2. Guess the House Price
3. Can you read the numbers?

There are 2 ways to run the notebooks:

• Easy and no installation. Simply Click the button to launch a binder session.
• More flexibile and require installation. Install Jupyter Lab on your PC via Anaconda package and copy the codes to run in your local session.

More info "See the Data":

• Gap Minder: https://demo.bokeh.org/gapminder
• Kaggle Data: https://www.kaggle.com/datasets?sort=votes
• Paid courses:
  • Seaborn: https://www.datacamp.com/courses/data-visualization-with-seaborn
  • Bokeh: https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh

More info on "Guess the House Price"

• Linear Regression: https://www.ritchieng.com/machine-learning-evaluate-linear-regression-model
• Logistic Regression: https://www.datacamp.com/community/tutorials/understanding-logistic-regression-python
• Paid courses:
• Predicting Credit Card Approvals: https://www.datacamp.com/projects/558
• Linear Modeling in Python: https://learn.datacamp.com/courses/introduction-to-linear-modeling-in-python

More info on "Can you read the Numbers?"

• MNIST Images (https://www.tensorflow.org/overview/)
  • Fashion MNIST: https://towardsdatascience.com/mnist-cnn-python-c61a5bce7a19
• Paid Courses:
  • ASL Recognition with Deep Learning: https://www.datacamp.com/projects/509
  • Extract Stock Sentiment from News Headlines: https://www.datacamp.com/projects/611

To go further from here...

A few places to start:

• Foundation of Data Science at Berkeley http://data8.org/
• MIT introduction to deep learning: http://introtodeeplearning.com/2019/index.html
• Deep Learning: https://lilianweng.github.io/lil-log/2017/06/21/an-overview-of-deep-learning.html
• Deep Learning and the Game of Go: https://www.amazon.ca/gp/product/1617295329/ref=ox_sc_act_title_1?smid=A3DWYIK6Y9EEQB&psc=1