Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Enroll to start learning
Youβve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the Data Science Lifecycle?
π‘ Hint: Think about what you need to understand before starting.
Question 2
Easy
Name one data collection method.
π‘ Hint: Consider the sources from where data can be gathered.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the last stage of the Data Science Lifecycle?
π‘ Hint: Think about what happens after deployment.
Question 2
True or False: Data cleaning is optional in the Data Science Lifecycle.
π‘ Hint: How does bad data affect your analysis?
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You are tasked with analyzing customer feedback data. Define a clear problem statement, describe how you would collect the data, and explain what cleaning steps you'd take.
π‘ Hint: Think about your end goal with the analysis.
Question 2
Discuss the impact of not monitoring a deployed model. What potential issues can arise, and how can you mitigate them?
π‘ Hint: Consider what happens to models over time, especially in dynamic environments.
Challenge and get performance evaluation