What is the primary purpose of the "problem statement" in a data science capstone project?
A. Provide a literature review
B. Define the project scope
C. Choose the programming language
D. None of the above
Why is it important to define clear success criteria for a data science capstone project?
A. To write a longer project report
B. To impress the mentor
C. To measure project's impact
D. To add complexity to the project
In a data science capstone project, what does "feature engineering" involve?
A. Writing the final report
B. Selecting the mentor
C. Visualizing data distributions
D. Creating new data variables
What is the primary role of "model evaluation" in a data science capstone project?
A. Assessing the model's performance
B. Writing the project proposal
C. Data collection
D. Data preprocessing
What is the significance of "deployment" in the context of a data science capstone project?
A. Conducting exploratory analysis
B. Selecting the dataset
C. Adding complexity to the project
D. Putting the model into production
What does the term "data wrangling" refer to in the context of a data science capstone project?
A. Data exploration
B. Model deployment
C. Data cleaning and preparation
D. Data visualization
Why is it important to document the project report in a data science capstone project?
A. To add complexity to the project
B. To impress the advisor
C. To avoid project presentation
D. To provide a clear project summary
Which phase of a capstone project involves assessing the model's performance and making improvements?
A. Model evaluation and refinement
B. Data preprocessing
C. Data visualization
D. Data collection
What is the significance of peer evaluation in a data science capstone project?
A. Replace the project report
B. Document the project process
C. Assign grades to the project
D. Assess project contributions
What is the primary objective of a data science capstone project's final report?
A. Showcase code and data
B. Provide a detailed bibliography
C. Present project findings and insights
D. Highlight project weaknesses
Which of the following is NOT a typical deliverable in a data science capstone project?
A. Data cleaning report
B. Project presentation
C. Final project report
D. Annotated bibliography
What is the primary difference between a data science capstone project and a typical coursework assignment?
A. Real-world application
B. Same level of complexity as assignments
C. No mentor or advisor required
D. No documentation required
Which phase of the capstone project involves selecting appropriate machine learning algorithms and models?
A. Data collection
B. Data visualization
C. Data preprocessing
D. Model development
What is the primary objective of a data science capstone project presentation?
A. Present code and data
B. Showcase technical skills
C. Communicate findings and insights
D. Compare to other projects
In a capstone project, what is the role of data visualization and storytelling?
A. Add complexity to the project
B. Enhance communication of results
C. Slow down the project
D. None of the above
What is the primary goal of a data science capstone project?
A. Develop and apply data science skills
B. Create random datasets
C. Build a personal website
D. Write research papers
Which phase of a typical data science project lifecycle does the capstone project often align with?
A. Data cleaning
B. Data collection
C. Data exploration
D. Data visualization
In a data science capstone project, what is the significance of a well-defined problem statement?
A. Adds complexity to the project
B. Is optional and not necessary
C. Guides the entire project lifecycle
D. Slows down data analysis
What is the role of a mentor or advisor in a data science capstone project?
A. Review and grade the project
B. Provide guidance and support
C. Write the project report
D. None of the above
In a capstone project, what is the purpose of the "exploratory data analysis" phase?
A. Create data visualizations
B. Build machine learning models
C. Understand the dataset and identify patterns
D. Collect data
