Name: Score:
167 Multiple choice questions
Definition 1 of 167
refers to the intricacy and structure of the data, which affects the amount of data required for the
analytics process
data complexity
data type
test data
data integration
Definition 2 of 167
analyzes past data to identify the root causes of specific outcomes or events. It answers
questions such as "Why did an event happen?" and "What caused it to happen?"
Diagnostic Analytics
Descriptive Analytics
Predictive Analytics
Spss Modeler
Definition 3 of 167
manage the project's financial resources; are involved in planning, budgeting, and reporting
processes
Financial management
Project manager
Financial operations
Marketing and sales operations
,Definition 4 of 167
does not use a target variable
control group
undirected data mining
exploratory data mining
forecasting
Term 5 of 167
What is Data Mining?
Data mining refers to the process of deleting unnecessary data from a database.
Data mining involves the manual entry of data into spreadsheets for analysis.
Data mining is the technique of generating random data for testing purposes.
Data mining is a business process for exploring large amounts of data to discover
meaningful patterns and rules.
Definition 6 of 167
Creating clear, concise reports and visuals that easily communicate findings to team members
and key stakeholders
Data preparation
Data quality control
Data reporting and visualization
Reporting
,Definition 7 of 167
evaluating machine learning models on test data to measure the model's accuracy, precision,
recall, and other performance metrics
Model selection
Model evaluation
Model training
Data cleaning
Definition 8 of 167
a centralized storage system for a company's data that is often the ideal location for data mining
tasks
corporate data warehouse
training data
test data
data complexity
Definition 9 of 167
offers methods to explore and analyze data through a GUI.
SPSS Modeler
Sas Enterprise Miner
Alpine Miner
Data Wrangler
, Definition 10 of 167
Financial operations must prepare and distribute financial reports to stakeholders to inform them
of the project's financial performance. This includes preparing regular financial statements,
variance reports, and budget-to-actual reports.
Data analytics
Funding
Data integrity
Financial reporting
Definition 11 of 167
is a data mining technique that identifies patterns in customer purchasing behavior based on the
idea that certain products are frequently purchased together
Market Basket Analysis
Forecasting
Regression Analysis
Statistical Analysis
Definition 12 of 167
any person, group, or organization with an interest or concern in the activities, decisions, or
outcomes of the organization or business
Scope
Stakeholders
Resources
Salespeople
167 Multiple choice questions
Definition 1 of 167
refers to the intricacy and structure of the data, which affects the amount of data required for the
analytics process
data complexity
data type
test data
data integration
Definition 2 of 167
analyzes past data to identify the root causes of specific outcomes or events. It answers
questions such as "Why did an event happen?" and "What caused it to happen?"
Diagnostic Analytics
Descriptive Analytics
Predictive Analytics
Spss Modeler
Definition 3 of 167
manage the project's financial resources; are involved in planning, budgeting, and reporting
processes
Financial management
Project manager
Financial operations
Marketing and sales operations
,Definition 4 of 167
does not use a target variable
control group
undirected data mining
exploratory data mining
forecasting
Term 5 of 167
What is Data Mining?
Data mining refers to the process of deleting unnecessary data from a database.
Data mining involves the manual entry of data into spreadsheets for analysis.
Data mining is the technique of generating random data for testing purposes.
Data mining is a business process for exploring large amounts of data to discover
meaningful patterns and rules.
Definition 6 of 167
Creating clear, concise reports and visuals that easily communicate findings to team members
and key stakeholders
Data preparation
Data quality control
Data reporting and visualization
Reporting
,Definition 7 of 167
evaluating machine learning models on test data to measure the model's accuracy, precision,
recall, and other performance metrics
Model selection
Model evaluation
Model training
Data cleaning
Definition 8 of 167
a centralized storage system for a company's data that is often the ideal location for data mining
tasks
corporate data warehouse
training data
test data
data complexity
Definition 9 of 167
offers methods to explore and analyze data through a GUI.
SPSS Modeler
Sas Enterprise Miner
Alpine Miner
Data Wrangler
, Definition 10 of 167
Financial operations must prepare and distribute financial reports to stakeholders to inform them
of the project's financial performance. This includes preparing regular financial statements,
variance reports, and budget-to-actual reports.
Data analytics
Funding
Data integrity
Financial reporting
Definition 11 of 167
is a data mining technique that identifies patterns in customer purchasing behavior based on the
idea that certain products are frequently purchased together
Market Basket Analysis
Forecasting
Regression Analysis
Statistical Analysis
Definition 12 of 167
any person, group, or organization with an interest or concern in the activities, decisions, or
outcomes of the organization or business
Scope
Stakeholders
Resources
Salespeople
