Data Science Methodology Final Exam

Question 1

Select the correct statement.

1 / 1 point

The first stage of the data science methodology is Data Collection.

The first stage of the data science methodology is Data Understanding.

The first stage of the data science methodology is Modeling.

The first stage of the data science methodology is Business Understanding.

Question 2

______________________ is an important stage in the data science methodology because it clearly defines the problem and the needs from a business perspective.

1 / 1 point

Business Understanding

Modeling

Data Understanding

Data Collection

3.

Question 3

Which of the following analogies is used in the videos to explain the Data Requirements and Data Collection stages of the data science methodology?

1 / 1 point

You can think of the Data Requirements and Data Collection stages as a cooking task, where the problem at hand is a recipe, and the data to answer the question is the ingredients.

You can think of the Data Requirements and Data Collection stages as building an outpatient clinic for patients with congestive heart failure, where the medical condition is the data and the patients are the ingredients.

 

4.

Question 4

In the Data Collection stage, techniques such as ___________ and visualization can be applied to the data set, to assess the content, quality, and initial insights about the data.

1 / 1 point

The supervised method

Data manipulation

Descriptive statistics

The unsupervised method

5.

Question 5

A training set is used for what?

1 / 1 point

Data Visualization

Statistical analysis

Descriptive modeling

Predictive modelling

 

6.

Question 6

A type I error is a ____________.

1 / 1 point

False-positive error

False-alarm error

False-negative error

Hypothesis error

7.

Question 7

The Data Understanding stage encompasses ____________________.

1 / 1 point

Removing redundant data.

Sorting the data.

All activities related to constructing the dataset.

Transforming data.

 

8.

Question 8

In what stage would you properly format the data?

1 / 1 point

The Modeling stage

The Data Requirements stage

The Data Understanding stage

The Data Preparation stage

9.

Question 9

The final stages of the data science methodology are an iterative cycle between which of the different stages?

1 / 1 point

Modelling, Evaluation, Data Understanding, Data Preparation, and Deployment.

Modelling, Data Preparation, Deployment, and Feedback.

Modelling, Evaluation, Deployment, and Feedback.

Data Understanding, Data Preparation, Evaluation, and Modelling.

10.

Question 10

Deploying a model into production represents the beginning of an iterative process from Feedback, then Model Refinement, and to what?

1 / 1 point

Redeployment

Data storage

Scalability

None of the above

11.

Question 11

The data science methodology provides the data scientist with a framework on how to proceed to do what?

1 / 1 point

Obtain data storage

Obtain answers

Obtain data

None of the above

12.

Question 12

As a data scientist what is typically NOT used for exploratory analysis of data?

1 / 1 point

Vector machines, Descriptive statistics

Deep Learning, Data visualization

Clustering, Deep learning

Clustering, Data visualization