Intro to Data Science

Intro to Data Science

Professional Development

10 Qs

quiz-placeholder

Similar activities

ANOVA Analysis

ANOVA Analysis

University - Professional Development

10 Qs

Training Evaluation & Impact 3

Training Evaluation & Impact 3

Professional Development

10 Qs

Week 1 HTM606

Week 1 HTM606

Professional Development

8 Qs

RoadtoCertification Week3

RoadtoCertification Week3

Professional Development

10 Qs

Workshop Quiz

Workshop Quiz

Professional Development

15 Qs

Penerapan Machine Learning pada Business Data Mining

Penerapan Machine Learning pada Business Data Mining

Professional Development

10 Qs

Factor Analysis

Factor Analysis

Professional Development

10 Qs

Inquiry-Based Learning

Inquiry-Based Learning

Professional Development

15 Qs

Intro to Data Science

Intro to Data Science

Assessment

Quiz

Professional Development

Professional Development

Hard

Created by

Eddie Gan

Used 261+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is not part of the data flow in supporting decision making?

Data Question

Data Preparation

Data Decision

Business Analysis

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the most basic need of data science?

Move/Store

Explore/ Transform

Collect

Learn/Optimise

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following are Continuous Quantitative Data?

Observations & Errors

Observations & Time

Time & Height

Time & Errors

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the main rule for data analysis?

Collect data

Present the graph

Plot the data

Choose the right chart

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following is true?

Means are correct!

Means are lies!

Means with confidence intervals are lies!

Means with confidence intervals are incorrect!

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is false?

Surveys and Focus groups are primary data collection methods.

Financial Reports and Internets are secondary data collection methods.

Always stick to 1 collection method.

Combination of tools is the best way for getting valid and confirmed data.

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Why do we need to prepare data?

Data might be invalid.

Data might need to be transformed.

Data might have outliers.

All of the above.

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?