Data Analysis Vocabulary

Data Analysis Vocabulary

Professional Development

10 Qs

quiz-placeholder

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Data Analysis Vocabulary

Data Analysis Vocabulary

Assessment

Quiz

Information Technology (IT)

Professional Development

Hard

Created by

Carolina Velásquez

Used 9+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Why completeness important in data analysis?

To summarize

Better decision -making

To make things easier

Audits and compliance

2.

FILL IN THE BLANK QUESTION

1 min • 1 pt

  • If one dataset tracks dates as YYYY-MM-DD and another uses DD/MM/YYYY, you might misinterpret timelines or trends unless everything conforms to a standard. This is an example of:

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

It helps preserve the integrity and usability of a dataset when some values are missing. Without it, missing data can cause all kinds of problems—errors in calculations, biases in models, or even total failure of certain algorithms.

Conformity

Organization

Cleaning

Imputing

4.

FILL IN THE BLANK QUESTION

1 min • 1 pt

  • Pattern recognition

  • Handling non-linear relationships

  • Adaptability

  • End-to-end learning

  • Are advatanges of using....

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can help me try to predict the future?

Prescriptive Analytics

Descriptive Analytics

Predictive Analytics

  1. Diagnostic Analytics

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can help me answer the question: What should we do about it?

Predictive analytics

  1. Descriptive Analytics

  1. Diagnostic Analytics

  1. Prescriptive Analytics

7.

FILL IN THE BLANK QUESTION

1 min • 1 pt

📈 Hotter days → more ice cream sold
📉 Cooler days → fewer ice cream sale

This is an example of...

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