Practical Data Science using Python - Introduction to EDA
Interactive Video
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Information Technology (IT), Architecture, Social Studies, Other
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is the primary role of exploratory data analysis in the data science process?
To generate raw data
To create data storage solutions
To analyze and summarize data characteristics
To deploy machine learning models
2.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
Which of the following is NOT a source of data mentioned in the context of data science?
Manufacturing plants
IoT devices
Space exploration missions
Social media websites
3.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is the ultimate goal of the data science process?
To store large amounts of data
To create complex data structures
To develop insights for decision-making
To replace human decision-makers
4.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
How do machine learning algorithms contribute to the data science process?
By generating raw data
By recognizing patterns and trends
By cleaning data
By visualizing data
5.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is one of the key applications of data science in organizations?
To create complex algorithms
To generate reports and visualizations
To replace all manual processes
To develop new programming languages
6.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
In which stage of the data science lifecycle is EDA NOT involved?
Model deployment
Data cleaning
Data exploration
Feature engineering
7.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is the purpose of feature engineering in the data science process?
To create new features from existing data
To visualize data patterns
To store data efficiently
To delete unnecessary data
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