I'm moving through some great data science material via Cognitive Class (Big Data University) via a course titled (appropriately) Introduction to Data Science. One of the modules discussed one of the many areas in which a great data scientist must possess strength, storytelling.
1. Tell readers, at the outset, what they might gain by reading your paper.
2. Make the aim of the work clear.
3. Explain the significance of your contribution.
4. Have you set your work in the appropriate context by giving sufficient background (including a complete set of relevant references) to your work?
5. Have you addressed the question of practicality and usefulness?
6. Have you identified future developments that might result from your work?
7. Have you structured your paper in a clear and logical fashion?
Original version of the cited text...
In February of 2018, I was denied admission to a Ph.D. program in Linguistics. As I was navigating the application process, I simultaneously revisited a dormant interest in computer science. In March I enrolled in a certified Computer Science class via HarvardX, which I completed four months later. I am at the beginning of a new phase in my life-long learning process and look forward to that which the future will inevitably deliver.
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