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Conceptual knowledge check: What is data science? |
Please follow the following instructions to submit your work:
{{< contentlink path="project-submission-instructions/markdown-questions" >}}
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Consider the steps in the DSM. Should the steps always happen in the same order? Why? Or Why not?
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How do computational advances specifically contribute to the field of data science beyond traditional statistical analysis?
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In what ways does the interdisciplinary nature of data science enhance its problem-solving capabilities?
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Why is Exploratory Data Analysis (EDA) critical before proceeding to the modeling phase in data science projects?
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What ethical considerations should be taken into account during the data collection and preparation phase of a data science project?
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How does effective communication of results contribute to the success of a data science project?
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Why does it make sense for professional data-scientists to be aware of software development best practices? And can you name any practices worth considering? We mentioned some things in this course, feel free to do further reading