1.6 - Data Analysis Process

Question 1

Why is it important to understand the data analysis process?

Answer 1

It provides a structured approach to turning data into insights, ensuring nothing important is missed.

Question 2

What are the main stages of a beginner-friendly data analysis process?

Answer 2

Ask → Collect & Prepare → Explore & Analyze → Share & Reflect.

Question 3

What happens in the “Ask” stage of analysis?

Answer 3

Define the problem, set objectives, and determine what questions need to be answered.

Question 4

What is the goal of the “Collect & Prepare” stage?

Answer 4

Gather relevant data, clean it, and structure it so it’s ready for analysis.

Question 5

What happens during the “Explore & Analyze” stage?

Answer 5

Examine the data to find patterns, trends, and relationships that help answer your questions.

Question 6

What is the purpose of the “Share & Reflect” stage?

Answer 6

Communicate findings clearly and consider what the results mean for decisions and next steps.

Question 7

The first stage of the data analysis process, ______, involves defining the problem and asking the right questions.

Answer 7

Ask

Question 8

During the ______ stage, analysts gather, clean, and structure data for analysis.

Answer 8

Collect & Prepare

Question 9

The ______ stage focuses on examining patterns and trends to answer questions.

Answer 9

Explore & Analyze

Question 10

In the final stage, ______, insights are shared and reflected upon for action or learning.

Answer 10

Share & Reflect

Question 11

Which stage is iterative and may require returning to previous stages?
A) Ask
B) Explore & Analyze
C) Share & Reflect
D) All of the above

Answer 11

D) All of the above

Question 12

Why is the data analysis process considered iterative?

Answer 12

Because insights may reveal new questions, require more data, or need re-examination, leading analysts to repeat stages.