17.9 - Best Practices for Real-World Data Science Projects
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is the primary purpose of understanding the business context in a data science project?
💡 Hint: Think about how projects aim to solve real-world issues.
How can version control benefit a data science project?
💡 Hint: Consider how you share work with a team.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
Why is understanding the business context important in data science?
💡 Hint: Consider what guides the direction of a project.
True or False: Documentation is optional in data science projects.
💡 Hint: Think about how others may later use your work.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Propose a strategy to implement GDPR compliance in a new data science project involving user data.
💡 Hint: Consider all stages of the project lifecycle.
Analyze a case where inadequate documentation hindered a data science project. What could have been done differently?
💡 Hint: Think about communication breakdown and lost knowledge in teams.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.