Question 1

Discuss how a business can use supervised and unsupervised learning together to gain more insights about a problem it is facing.

Accepted Answer

Supervised and unsupervised learning are

Question 2

The Department of Agriculture is a source of secondary data on ________.

Accepted Answer

A)  consumer complaints regarding government's financial products and services 
B)  population, economy, housing, and geography 
C)  demographic characteristics such as gender, ethnicity, and citizenship 
D)  fruit and vegetable prices for over 153 commonly consumed products 
A)  consumer complaints regarding government's financial products and services 
B)  population, economy, housing, and geography 
C)  demographic characteristics such as gender, ethnicity, and citizenship 
D)  fruit and vegetable prices for over 153 commonly consumed products

Question 3

Identify a valid difference between descriptive analytics and predictive analytics.

Accepted Answer

A)  Descriptive analytics predicts new needs and opportunities, whereas predictive analysis reinforces existing beneficial practices. 
B)  Descriptive analytics mimics human-like intelligence, whereas predictive analytics identifies the best optimal decision. 
C)  Descriptive analytics can identify patterns in data, whereas predictive analytics can recognize objects from an image. 
D)  Descriptive analytics uses data to explain the past, whereas predictive analytics uses data to explain the future. 
A)  Descriptive analytics predicts new needs and opportunities, whereas predictive analysis reinforces existing beneficial practices. 
B)  Descriptive analytics mimics human-like intelligence, whereas predictive analytics identifies the best optimal decision. 
C)  Descriptive analytics can identify patterns in data, whereas predictive analytics can recognize objects from an image. 
D)  Descriptive analytics uses data to explain the past, whereas predictive analytics uses data to explain the future.

Question 4

Discuss the importance of knowledge of marketing analytics when an individual is searching for a job.

Accepted Answer

Knowledge of marketing analytics is cruc

Question 5

Google Dataset Search is useful in helping data enthusiasts find available data sources.

Accepted Answer

A) True 
 B)False

Question 6

In the context of questions that help identify a business problem, asking "What factors continue to drive this problem?" will help determine the outcome of the ________.

Accepted Answer

A)  stakeholder 
B)  impacted unit 
C)  root-cause analysis 
D)  timeline 
A)  stakeholder 
B)  impacted unit 
C)  root-cause analysis 
D)  timeline

Question 7

A marketing analyst at a gaming company is studying the effect of school holidays on sales of video games. In this study, what type of variable is school holidays?

Accepted Answer

A)  a target variable 
B)  a dependent variable 
C)  an outcome variable 
D)  an independent variable 
A)  a target variable 
B)  a dependent variable 
C)  an outcome variable 
D)  an independent variable

Question 8

In the context of the 7-step marketing analytics process, which of the following steps should be followed after completing model evaluation and interpretation?

Accepted Answer

A)  model deployment 
B)  model and results communication 
C)  business problem understanding 
D)  data preparation and feature selection 
A)  model deployment 
B)  model and results communication 
C)  business problem understanding 
D)  data preparation and feature selection

Question 9

In supervised learning, the testing dataset is used to

Accepted Answer

A)  assess how well the algorithm developed using the training dataset estimates the target variable. 
B)  evaluate the final selected algorithm and see how well it performs on a third dataset. 
C)  "learn" the relationship between the predictors and the target variable. 
D)  select the model that most accurately predicts the target value of interest. 
A)  assess how well the algorithm developed using the training dataset estimates the target variable. 
B)  evaluate the final selected algorithm and see how well it performs on a third dataset. 
C)  "learn" the relationship between the predictors and the target variable. 
D)  select the model that most accurately predicts the target value of interest.

Question 10

In which step of the 7-step marketing analytics process are the unit of analysis and the target and predictor variables identified?

Accepted Answer

A)  data understanding and collection 
B)  model development 
C)  model evaluation and interpretation 
D)  data preparation and feature selection 
A)  data understanding and collection 
B)  model development 
C)  model evaluation and interpretation 
D)  data preparation and feature selection

Question 11

In the context of variable types in data measurement, explain the difference between numerical and categorical variables.

Accepted Answer

Numerical variables are those that repre

Question 12

Which of the following is true about the fifth principle in the SMART analytics principles?

Accepted Answer

A)  The project should be trackable and the outcomes measurable. 
B)  The project should solve the analytics problem and align with the business objectives. 
C)  The project should be completed in a timely manner. 
D)  The project's goals should be specific and clearly defined. 
A)  The project should be trackable and the outcomes measurable. 
B)  The project should solve the analytics problem and align with the business objectives. 
C)  The project should be completed in a timely manner. 
D)  The project's goals should be specific and clearly defined.

Question 13

The goal of unsupervised learning is to model the underlying structure and distribution in the data to discover and confirm patterns in the data.

Accepted Answer

A) True 
 B)False

Question 14

In the context of defining the right business problem, list the questions that need to be asked to determine context.

Accepted Answer

1. What is the specific issue or challen

Question 15

When the target variable is categorical, supervised learning is called prediction.

Accepted Answer

A) True 
 B)False

Discuss how a business can use supervised and unsupervised learning together to gain more insights about a problem it is facing.

The Department of Agriculture is a source of secondary data on ________.

Identify a valid difference between descriptive analytics and predictive analytics.

Discuss the importance of knowledge of marketing analytics when an individual is searching for a job.

Google Dataset Search is useful in helping data enthusiasts find available data sources.

In the context of questions that help identify a business problem, asking "What factors continue to drive this problem?" will help determine the outcome of the ________.

A marketing analyst at a gaming company is studying the effect of school holidays on sales of video games. In this study, what type of variable is school holidays?

In the context of the 7-step marketing analytics process, which of the following steps should be followed after completing model evaluation and interpretation?

In supervised learning, the testing dataset is used to

In which step of the 7-step marketing analytics process are the unit of analysis and the target and predictor variables identified?

In the context of variable types in data measurement, explain the difference between numerical and categorical variables.

Which of the following is true about the fifth principle in the SMART analytics principles?

The goal of unsupervised learning is to model the underlying structure and distribution in the data to discover and confirm patterns in the data.

In the context of defining the right business problem, list the questions that need to be asked to determine context.

When the target variable is categorical, supervised learning is called prediction.

Data Management

Exploratory Data Analysis Using Cognitive Analytics

Data Visualization

Regression Analysis

Neural Networks

Automated Machine Learning

Cluster Analysis

Market Basket Analysis

Natural Language Processing - Text Mining and Sentiment Analysis

Social Network Analysis

Web Analytics

Filters

Exam 1: Introduction to Marketing Analytics

Discuss how a business can use supervised and unsupervised learning together to gain more insights about a problem it is facing.

The Department of Agriculture is a source of secondary data on ________.

Identify a valid difference between descriptive analytics and predictive analytics.

Discuss the importance of knowledge of marketing analytics when an individual is searching for a job.

Google Dataset Search is useful in helping data enthusiasts find available data sources.

In the context of questions that help identify a business problem, asking "What factors continue to drive this problem?" will help determine the outcome of the ________.

A marketing analyst at a gaming company is studying the effect of school holidays on sales of video games. In this study, what type of variable is school holidays?

In the context of the 7-step marketing analytics process, which of the following steps should be followed after completing model evaluation and interpretation?

In supervised learning, the testing dataset is used to

In which step of the 7-step marketing analytics process are the unit of analysis and the target and predictor variables identified?

In the context of variable types in data measurement, explain the difference between numerical and categorical variables.

Which of the following is true about the fifth principle in the SMART analytics principles?

The goal of unsupervised learning is to model the underlying structure and distribution in the data to discover and confirm patterns in the data.

In the context of defining the right business problem, list the questions that need to be asked to determine context.

When the target variable is categorical, supervised learning is called prediction.

Data Management

Exploratory Data Analysis Using Cognitive Analytics

Data Visualization

Regression Analysis

Neural Networks

Automated Machine Learning

Cluster Analysis

Market Basket Analysis

Natural Language Processing - Text Mining and Sentiment Analysis

Social Network Analysis

Web Analytics

Filters