Data Science Project Development: A high-level and step-by-step demonstration. How a data science project flows step by step.
Project Examples:
The project relates to Dietary Pattern Data analysis to find associations with diseases.
Stock Price Prediction
I will show all the steps (from finding the dataset to making the final decision based on dataset analysis and experiments) and provide a high-level overview. This overview will help you think about (apply to) your problem/project.
I will also show/mention the tools and coding I used (minimally). Just the overview, not the detailed code.
This course will also include materials to understand the concepts.
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In
any Graduate Level Program (MSc or PhD), you must have to take a
research methodologies course. In a data science program, it is called
Data Science Research Methodologies. This session is about the Research
Methodologies (steps, procedures, and approaches) utilized in the
project, as an example, to see in practice.
Sometimes the actual
course might only tell you the theories/concepts with/or without
examples (or with limited random examples i.e. might be for different
research problems for different concepts - not for one full project) -
it can be difficult to visualize those concepts to be able to utilize in
real projects for the first time (by everyone, without enough and
focused examples). However, that is kind of pretty difficult to
impossible to address as students' research topics can be pretty diverse.
This
session, if I can do it well, will help to understand that for sure,
more visually/understandably for one project. A similar approach will help
in other domains/research topics; however, the exact process will vary.
This is just one example case.