Practical Data Science using Python - Data Science Technologies and Analytics
Interactive Video
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Information Technology (IT), Architecture, Social Studies
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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
Which libraries are primarily used for managing numerical arrays in data science?
Tableau and SAS
Numpy and Pandas
Python and R
Matplotlib and Seaborn
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of using visualization libraries like Matplotlib and Seaborn?
To manage numerical arrays
To clean raw data
To create charts and graphs
To perform predictive modeling
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which tools are mentioned as enterprise analytics tools?
Numpy and Pandas
Matplotlib and Seaborn
Tableau, SAS, and Click Sense
Python and R
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which language is emphasized for coding in the course structure?
C++
Python
R
Java
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What statistical techniques are covered in the course for data analysis?
Machine learning algorithms
Data visualization
Hypothesis testing
Data cleaning
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of Python in the course structure?
To replace machine learning
To manage databases
To perform data analysis and visualization
To create enterprise tools
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of machine learning algorithm is used for grouping similar data points?
Clustering
Classification
Regression
Supervised learning
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