Editing Human Centered Data Science (Fall 2019)/Assignments

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=== A5: Final project plan ===
 
=== A5: Final project plan ===
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''to come''
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''For examples of datasets you may want to use for your final project, see [[HCDS_(Fall_2017)/Datasets]].''
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For this assignment, you will write up a study plan for your final class project. The plan will cover a variety of details about your final project, including what data you will use, what you will do with the data (e.g. statistical analysis, train a model), what results you expect or intend, and most importantly, why your project is interesting or important (and to whom, besides yourself).
 
For this assignment, you will write up a study plan for your final class project. The plan will cover a variety of details about your final project, including what data you will use, what you will do with the data (e.g. statistical analysis, train a model), what results you expect or intend, and most importantly, why your project is interesting or important (and to whom, besides yourself).
 
The final project plan is an extension of the proposal, and should be in the same (.ipynb or .md) document in your repo. New sections to add are:
 
 
* '''Research questions and/or hypotheses:''' These describe what you hope to discover or determine in the course of your research.
 
:* Example research question: what is the impact of an MS degree on data scientist salaries over the course of their careers?
 
:* Example hypothesis: earning an MS degree is associated with an increase of x% in career data scientist salaries compared to similar data scientists who do not earn a degree
 
 
* '''Background and/or Related Work:''' What is already known about the phenomenon you are investigating? How does previous research or background info inform your decision to perform this study, the way you designed the study, or your specific research questions? Make sure to include references (endnotes and/or inline hyperlinks) to the sources of background information--whether they are websites, news articles, or peer-reviewed research.
 
 
* '''Methodology:''' Describe how you plan to investigate this phenomenon. Don't just describe what your analytical methods are (e.g. "ordinary least squares", "student's t-test", "heatmap visualization", or "recurrent neural network"), it's critical to justify why these are appropriate methods for gathering and analyzing your data, or presenting your findings. You are expected to be thorough here: please describe to the best of your ability the entire series of gathering, analysis, and presentation methods you plan to use.
 
  
 
=== A6: Final project presentation ===
 
=== A6: Final project presentation ===

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