
Data Mining & Python for Marketing Analytics
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Other
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University
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Medium
shradha choudhary
Used 4+ times
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8 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the main goal of data mining in marketing analytics?
Forecast stock prices
Improve UI design
Extract patterns from data to make better marketing decisions
Compress files
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which of these is an example of unstructured data?
Sales spreadsheet
Customer age list
Product reviews
Revenue chart
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
How would you manually extract product reviews from a website?
Use pandas
Write SQL queries
Copy and paste text from the website
Use matplotlib
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the first step in cleaning text data for analysis?
Draw a plot
Remove punctuation and special characters
Convert to CSV
Send it to Excel
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What does this Python function do?
df['Ratings'] = df['rating'].apply(lambda x: float(x.split()[0]))
Tokenizes review text
Extracts rating score from a string
Removes null values
Creates a pivot table
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which Python library is commonly used for text preprocessing?
pandas
matplotlib
NLTK
seaborn
7.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the output of
df.groupby('Ram')['Ratings'].mean()?
List of products by color
Average rating for each RAM size
Total number of reviews
Maximum rating
8.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Why is extracting product variants from the product name useful?
It helps identify the file format
It shows sales trends by variant
It hides the product model
It's required by matplotlib
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