
Exploring Data Science Concepts
Authored by REVATHY K
Computers
University
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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary need for data science?
To store data efficiently.
To create complex algorithms.
To extract insights from data.
To visualize data without analysis.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
List three benefits of using data science.
Simplified data entry processes
Reduced data storage costs
Decreased employee workload
1. Improved decision-making 2. Enhanced customer insights 3. Increased operational efficiency
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the main facets of data?
The main facets of data are volume, variety, velocity, veracity, and value.
consistency, clarity, cost
speed, simplicity, security
accuracy, accessibility, anonymity
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the data science process in brief.
The data science process includes defining the problem, collecting data, cleaning data, analyzing data, building models, validating models, communicating results, and deploying solutions.
The process ends with data collection.
Data science only involves programming skills.
Collecting data is the only step in data science.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the data science process?
Collect data from various sources
Define the problem or question
Analyze the data for insights
Visualize the data findings
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is data cleansing important?
Data cleansing is only necessary for large datasets.
Data cleansing is primarily for data storage optimization.
Data cleansing has no impact on decision-making processes.
Data cleansing is important for ensuring data quality and accuracy.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does exploratory data analysis involve?
Implementing machine learning algorithms
Exploratory data analysis involves summarizing and visualizing data to understand its structure and patterns.
Collecting data from various sources
Performing complex statistical modeling
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