Grade VI • Artificial Intelligence & Data Science

Worksheet: Introduction to Data Science

AI and its Domains • Introduction to Data • Data Science • Life Cycle of Data Science • Applications of Data Science

Maximum Marks: 20

Student Information

Name:
Class & Section:
Roll No.:
Date:

General Instructions

  1. Read each question carefully before answering.
  2. Answer all questions.
  3. Write answers clearly and concisely.
  4. Use appropriate examples wherever required.
  5. The worksheet carries a total of 20 marks.

Section A – Objective Type Questions 5 Marks

1. Multiple Choice Questions

Questions 1–2: 1 × 2 = 2 Marks

1. Which of the following is a domain of Artificial Intelligence?

  • ☐ a) Computer Vision
  • ☐ b) Word Processing
  • ☐ c) File Management
  • ☐ d) Desktop Publishing

2. Which of the following best describes data?

  • ☐ a) Raw facts and observations
  • ☐ b) Only computer programs
  • ☐ c) Only pictures
  • ☐ d) Only numerical calculations

2. Fill in the Blanks

Questions 3–4: 1 × 2 = 2 Marks

3. The process of collecting, analysing and interpreting data to obtain useful insights is called .

4. The first stage of the Data Science life cycle generally involves defining the .

3. True / False

Questions 5a–5b: 0.5 × 2 = 1 Mark

5a. Data Science can be used to discover patterns and useful insights from data.

Answer: ☐ True     ☐ False

5b. Data Science has no applications in healthcare, transportation or education.

Answer: ☐ True     ☐ False

Section A Total: 5 Marks

Section B – Short Answer Type Questions 6 Marks

Questions 6–8: 2 × 3 = 6 Marks

6. What is Artificial Intelligence? Name any two domains or areas related to Artificial Intelligence.

7. What is data? Give any two examples of data from everyday life.

8. What is Data Science? How does it help us make decisions using data?

Section B Total: 6 Marks

Section C – Long Answer Type Questions 9 Marks

Questions 9–11: 3 × 3 = 9 Marks

9. Explain the major stages of the Data Science life cycle. Write the stages in the correct sequence and briefly describe the purpose of each stage.

10. Explain any three applications of Data Science in real-world fields. Give a suitable example for each application.

11. Explain how data can be transformed into useful information and insights. Describe the role of Data Science in this process.

Section C Total: 9 Marks

Assessment Blueprint

Section Question Type Question Numbers Marks Total
A MCQ 1–2 1 × 2 2
A Fill in the Blanks 3–4 1 × 2 2
A True / False 5a–5b 0.5 × 2 1
B Short Answer 6–8 2 × 3 6
C Long Answer 9–11 3 × 3 9
Grand Total 20

Topics Covered

  • AI and its Domains — meaning of AI and major areas in which AI is applied.
  • Introduction to Data — meaning, examples and importance of data.
  • Data Science — using data, computational methods and analysis to obtain useful insights.
  • Life Cycle of Data Science — major stages involved in solving a data-related problem.
  • Applications of Data Science — practical uses of data-driven approaches in different fields.

Self-Check

Before submitting your worksheet, check that you have:

  • Answered all 11 questions.
  • Attempted both MCQs.
  • Completed both fill-in-the-blanks.
  • Marked both True/False statements.
  • Written complete short answers.
  • Explained the long-answer questions with appropriate examples.
  • Checked spelling and presentation.