Step by step goals for completing the Girls Who Code at UM DCMB Capstone Project.

• At the end of each meeting the latest .ipynb should be uploaded to a Google Drive folder shared with your project group. Keep track of your progress in the notebook via comments, in a Google doc, or in a group message on Slack regarding what you accomplished and what you need to do.
• You can communicate with your group & facilitator on Slack!

• One partner should make a Google Drive folder and share it with group mentor and partner(s)
• Make a new Jupyter Notebook (from an existing notebook, File > New notebook) and move it into the new Drive folder

• The code below can be used to read in one of the datasets already on GitHub:

import pandas as pd
url = "https://raw.githubusercontent.com/GWC-DCMB/CapstoneProject/master/datasets/"
filepath = "AP_exams/ap_exams_MI_2018.csv"
df = pd.read_csv(url + filepath)
df.head()

• Start familiarizing yourself with your data. What are the data types in each column of the data set (e.g. float, string)?

• Refine the question or hypothesis you want to explore in your project
• Make a plan for what steps you need to take to answer the question
• Sketch out potential plots including x and y axes (do this on paper with your group)

• Start cleaning data programatically. Add commands to your .ipynb.
• You should be using pandas, check out documentation
• To help with data frame manipulation in pandas check out this Jupyter Notebook
• What variables do you need? What outliers should you remove? What variable has too much missing data to be reliable?
• Remember our example project Jupyter Notebook
• A list of all the functions/methods/packages you've learned can be found here

• Start visualizing your data using matplotlib

• Make presentation including Background, Methods, Hypothesis, Results
• Template Presentation
• Review the example presentation by Rucheng Diao
• Practice your presentation