_index.md

_db_id	content_type	flavours	prerequisites	protect_main_branch	ready	submission_type	title
1082	project	none	hard data-science/foundational-short-course/1-what-is-data-science data-science/foundational-short-course/2-the-data-science-method data-science/foundational-short-course/3-why-python-and-git coding_aptitude_assessment/introduction_to_github projects/tilde/basic-repo-card-tutorial	false	true	repo	Conceptual knowledge check: What is data science?

How to submit your work

Please follow the following instructions to submit your work:

{{< contentlink path="project-submission-instructions/markdown-questions" >}}

Questions

1. Consider the steps in the DSM. Should the steps always happen in the same order? Why? Or Why not?

2. How do computational advances specifically contribute to the field of data science beyond traditional statistical analysis?

3. In what ways does the interdisciplinary nature of data science enhance its problem-solving capabilities?

4. Why is Exploratory Data Analysis (EDA) critical before proceeding to the modeling phase in data science projects?

5. What ethical considerations should be taken into account during the data collection and preparation phase of a data science project?

6. How does effective communication of results contribute to the success of a data science project?

7. 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