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D491 Introduction to Analytics
Questions and Answers
, Data Wrangling Data Scientist
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2 of 161
Term
An e-commerce company has collected various types of data about
their customers, products, and sales transactions. The available data
includes customer demographics, product attributes, purchase history,
website clickstream data, and customer feedback.Which question can
be answered using data analytics based on the available data?
-What are the most popular products among customers aged 18-25?
-How many sales transactions were made in the last month?
-What is the total revenue generated by the company since its
inception?
-How many employees does the company have?
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Sales data categorized by product
What are the most popular products among customers aged 18-25?
What are the top-selling products in each location?
, When they want to find out whether changing the color of the "Add to Cart" button
will have a significant impact on sales (Randomly assigning visitors to either the
control or variant version of the home page ensures that the two groups are
statistically similar and that any differences in conversion rates can be attributed to
the change in the "Add to Cart" button color.)
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3 of 161
Term
A financial institution is seeking to reduce the risk of fraudulent
transactions. The institution has customer data that includes account
information, transaction history, demographics, and device usage. The
data analytics project aims to answer the question: "What patterns of
behavior suggest a higher risk of fraudulent transactions?"Which data is
required to meet the needs of the project and address the risk of
fraudulent transactions?
-Transaction time data
-Customer age data
-Customer device usage data
-Account opening date data
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Focusing only on the accuracy of the model
, Lists of at-risk customers (Providing a list of at-risk customers for targeted marketing
campaigns can help retain their business and prevent revenue loss.)
Time Series
Customer device usage data
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4 of 161
Term
What is the most appropriate data analytics technique for analyzing
website traffic patterns?
-Line chart
-Heat map
-Regression analysis
-Scatterplot
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Heat map (A heat map is a graphical representation of data that uses color
coding to visualize the magnitude or frequency of a variable across two
dimensions. Heat maps display large amounts of data in a way that is easy to
interpret and identify patterns.)