Practice Chapter Summary - 1.5 | Introduction to Data Science | Data Science Basic
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Chapter Summary

1.5 - Chapter Summary

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.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is data science?

💡 Hint: Think about different disciplines that contribute to data science.

Question 2 Easy

Name one responsibility of a data scientist.

💡 Hint: Consider the skills they must have.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary role of a data scientist?

Collects data
Builds predictive models
Communicates insights
All of the above

💡 Hint: Think about their responsibilities.

Question 2

True or False: Data science is only applicable to the tech industry.

True
False

💡 Hint: Recall the various industries we discussed.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss how advances in machine learning have impacted data science practices in the last decade. Give examples.

💡 Hint: Consider the relationship between machine learning and data science.

Challenge 2 Hard

Evaluate the implications of having insufficient data cleaning in a data science project. What potential issues could arise?

💡 Hint: Think about how raw data can impact the outcomes of your analysis.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.