module 2.1

Question 1

what are the six common types of questions data analysts are asked

Answer 1

making predictions, categorizing things, spotting something unusual, identifying themes, discovering connections, and finding patterns.

Question 2

Using data to make informed decisions about how things may be in the future.

Answer 2

Making predictions

Question 3

Grouping data based on common features.

Answer 3

Categorizing things

Question 4

Identifying data that is different from the norm.

Answer 4

Spotting something unusual

Question 5

Recognizing broader concepts and trends from categorized data.

Answer 5

Identifying themes

Question 6

Identifying similar challenges across different entities—and using data and insights to find common solutions.

Answer 6

Discovering connections

Question 7

Using historical data about what happened in the past to understand how likely it is to happen again.

Answer 7

Finding patterns

Question 8

what does SMART stand for

Answer 8

Specific
Measurable
Action-oriented
Relevant
Time bound

Question 9

what are the three main types of questions you should avoid

Answer 9

vague, closed-ended, leading

Question 10

what is a closed-ended question

Question 11

what is a leading question

Answer 11

This is a leading question because it suggests an answer as part of the question.