ACTUAL QUESTIONS AND CORRECT VERIFIED
ANSWERS ALREADY GRADED A+ 100% GUARANTEED
PASS!
Explain Clustering, one of the three advanced data analytics techniques we
covered in the course - ANSWER-The process of grouping data so that
observations within a group will be similar to one another and observations
from different groups will be dissimilar
Explain Decision Trees, one of the three advanced data analytics techniques we
covered in the course - ANSWER-A model to determine membership of cases or
values
of a outcome variable based on one or more
predictor variables
Explain Association Rules, one of the three advanced data analytics techniques
we covered in the course - ANSWER-Find out which items
predict the occurrence of
other items
What kinds of problems can Clustering solve through Data Mining and
Advanced Data Analytics Techniques? Provide a business-oriented example. -
, ANSWER-marketing, industry analysis, political forecasting, biology, finance.
e.g.: Walmart's customer segmentation of Value-Price Shoppers, Brand
Aspirationals, and Price-Sensitive Affluents
What kinds of problems can Decision Trees solve through Data Mining and
Advanced Data Analytics Techniques? Provide a business-oriented example. -
ANSWER-problems with multiple outcomes. e.g.:
banks deciding whether or not to freeze account due to possible fraud
What kinds of problems can Association Rules solve through Data Mining and
Advanced Data Analytics Techniques? Provide a business-oriented example. -
ANSWER-problems with correlation. e.g.: amazon's recommendations
Explain how data mining differs from OLAP analysis - ANSWER-OLAP can tell
you what is
happening, or what has
happened, while Data mining can tell you
why it is happening, and
help predict what will
happen
Why would you use this instead of a data cube and a pivot table? - ANSWER-
data cubes and pivot tables are non volatile, for example, You can't track daily
sales if "date" is
monthly
Explain the difference between R and RStudio - ANSWER-R has software
development
platform and