Path: blob/master/april_18/projects/unit-projects/project-1/starter-code/project1-starter.ipynb
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Project 1
In this first project you will create a framework to scope out data science projects. This framework will provide you with a guide to develop a well-articulated problem statement and analysis plan that will be robust and reproducible.
Read and evaluate the following problem statement:
Determine which free-tier customers will covert to paying customers, using demographic data collected at signup (age, gender, location, and profession) and customer useage data (days since last log in, and activity score 1 = active user, 0= inactive user) based on Hooli data from Jan-Apr 2015.
1. What is the outcome?
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2. What are the predictors/covariates?
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3. What timeframe is this data relevent for?
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4. What is the hypothesis?
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Let's get started with our dataset
1. Create a data dictionary
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| Variable | Description | Type of Variable |
|---|---|---|
| Var 1 | 0 = not thing 1 = thing | categorical |
| Var 2 | thing in unit X | continuous |
We would like to explore the association between X and Y
2. What is the outcome?
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3. What are the predictors/covariates?
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4. What timeframe is this data relevent for?
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4. What is the hypothesis?
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Problem Statement
Exploratory Analysis Plan
Using the lab from a class as a guide, create an exploratory analysis plan.
1. What are the goals of the exploratory analysis?
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2a. What are the assumptions of the distribution of data?
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2b. How will determine the distribution of your data?
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3a. How might outliers impact your analysis?
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3b. How will you test for outliers?
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4a. What is colinearity?
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4b. How will you test for colinearity?
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5. What is your exploratory analysis plan?
Using the above information, write an exploratory analysis plan that would allow you or a colleague to reproduce your analysis 1 year from now.
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Bonus Questions:
Outline your analysis method for predicting your outcome
Write an alternative problem statement for your dataset
Articulate the assumptions and risks of the alternative model