BUSINESS CORE DATA
ANALYTICS QUIZZES TEST
BANK
Module 1: Introduction to Data Analytics
Quiz Questions:
What are the four types of data analytics?
a) Descriptive, Diagnostic, Predictive, Prescriptive
b) Analytical, Statistical, Predictive, Machine Learning
c) Structured, Unstructured, Semi-structured, Big Data
d) Business Intelligence, AI, Machine Learning, Data Science
,Answer: a) Descriptive, Diagnostic, Predictive, Prescriptive
Which of the following best defines data analytics?
a) The process of collecting data
b) The use of data to make informed business decisions
c) The visualization of data
d) The storage of data in databases
Answer: b) The use of data to make informed business decisions
Which type of analytics helps in identifying trends and patterns in historical data?
a) Prescriptive analytics
b) Predictive analytics
c) Descriptive analytics
d) Diagnostic analytics
Answer: c) Descriptive analytics
Module 2: Data Collection and Cleaning
Quiz Questions:
Which of the following is NOT a common data collection method?
a) Surveys
b) SQL queries
c) Web scraping
d) Machine learning algorithms
Answer: d) Machine learning algorithms
What is the primary goal of data cleaning?
a) To remove all missing values
b) To make data consistent and usable for analysis
c) To delete all duplicate records
,d) To apply machine learning models
Answer: b) To make data consistent and usable for analysis
Which of the following is a common issue addressed in data cleaning?
a) Data visualization
b) Predictive modeling
c) Duplicate records and missing values
d) Regression analysis
Answer: c) Duplicate records and missing values
Module 3: Data Visualization and Interpretation
Quiz Questions:
Which chart type is best for showing trends over time?
a) Pie chart
b) Bar chart
c) Line chart
d) Scatter plot
Answer: c) Line chart
Which tool is commonly used for data visualization?
a) SQL
b) Excel
c) Tableau
d) Both b and c
Answer: d) Both b and c
What is the primary purpose of a dashboard in data analytics?
a) To store large datasets
, b) To visualize and monitor key metrics in real time
c) To generate complex SQL queries
d) To analyze machine learning algorithms
Answer: b) To visualize and monitor key metrics in real time
Module 4: Predictive Analytics and Machine Learning
Quiz Questions:
What is the main purpose of predictive analytics?
a) To understand past data
b) To identify the root cause of an event
c) To predict future outcomes based on historical data
d) To clean raw data
Answer: c) To predict future outcomes based on historical data
Which machine learning algorithm is commonly used for classification tasks?
a) Linear Regression
b) K-Means Clustering
c) Decision Trees
d) Principal Component Analysis (PCA)
Answer: c) Decision Trees
Which of the following best defines overfitting in machine learning?
a) When the model performs well on training data but poorly on new data
b) When the model generalizes well across all datasets
c) When the model has too little data to learn from
d) When the model makes predictions without using any historical data
Answer: a) When the model performs well on training data but poorly on new data
ANALYTICS QUIZZES TEST
BANK
Module 1: Introduction to Data Analytics
Quiz Questions:
What are the four types of data analytics?
a) Descriptive, Diagnostic, Predictive, Prescriptive
b) Analytical, Statistical, Predictive, Machine Learning
c) Structured, Unstructured, Semi-structured, Big Data
d) Business Intelligence, AI, Machine Learning, Data Science
,Answer: a) Descriptive, Diagnostic, Predictive, Prescriptive
Which of the following best defines data analytics?
a) The process of collecting data
b) The use of data to make informed business decisions
c) The visualization of data
d) The storage of data in databases
Answer: b) The use of data to make informed business decisions
Which type of analytics helps in identifying trends and patterns in historical data?
a) Prescriptive analytics
b) Predictive analytics
c) Descriptive analytics
d) Diagnostic analytics
Answer: c) Descriptive analytics
Module 2: Data Collection and Cleaning
Quiz Questions:
Which of the following is NOT a common data collection method?
a) Surveys
b) SQL queries
c) Web scraping
d) Machine learning algorithms
Answer: d) Machine learning algorithms
What is the primary goal of data cleaning?
a) To remove all missing values
b) To make data consistent and usable for analysis
c) To delete all duplicate records
,d) To apply machine learning models
Answer: b) To make data consistent and usable for analysis
Which of the following is a common issue addressed in data cleaning?
a) Data visualization
b) Predictive modeling
c) Duplicate records and missing values
d) Regression analysis
Answer: c) Duplicate records and missing values
Module 3: Data Visualization and Interpretation
Quiz Questions:
Which chart type is best for showing trends over time?
a) Pie chart
b) Bar chart
c) Line chart
d) Scatter plot
Answer: c) Line chart
Which tool is commonly used for data visualization?
a) SQL
b) Excel
c) Tableau
d) Both b and c
Answer: d) Both b and c
What is the primary purpose of a dashboard in data analytics?
a) To store large datasets
, b) To visualize and monitor key metrics in real time
c) To generate complex SQL queries
d) To analyze machine learning algorithms
Answer: b) To visualize and monitor key metrics in real time
Module 4: Predictive Analytics and Machine Learning
Quiz Questions:
What is the main purpose of predictive analytics?
a) To understand past data
b) To identify the root cause of an event
c) To predict future outcomes based on historical data
d) To clean raw data
Answer: c) To predict future outcomes based on historical data
Which machine learning algorithm is commonly used for classification tasks?
a) Linear Regression
b) K-Means Clustering
c) Decision Trees
d) Principal Component Analysis (PCA)
Answer: c) Decision Trees
Which of the following best defines overfitting in machine learning?
a) When the model performs well on training data but poorly on new data
b) When the model generalizes well across all datasets
c) When the model has too little data to learn from
d) When the model makes predictions without using any historical data
Answer: a) When the model performs well on training data but poorly on new data
