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Infinite Skills Beginning Data Analytics With Rapidminer-illiterate
INFINITE SKILLS BEGINNING DATA ANALYTICS WITH RAPIDMINER-iLLiTERATE
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"Infinite Skills Beginning Data Analytics With Rapidminer-illiterate"

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www.infiniteskills.com/02411
This course is designed for the person who is new to the
science of data analytics, who has completed at least
one college-level math class, and is comfortable with
basic statistics. The course explains the core methods
used in data analytics and how to apply those methods in
conjunction with RapidMiner, a free and easy-to-use (no
programming knowledge required) data analytics platform

You'll first learn about the features of RapidMiner
configuring it, and how to connect to a variety of data
sets, and then move into a detailed survey of the
analytical methods incorporated within the software
Topics covered include correlation, association rules
k-means clustering, k-nearest neighbors, discriminant
analysis, Naive Bayes, linear and logistic regression
neural networks, decision trees, and text analysis

Learn how to use RapidMiner as a data analytics tool
Gain a practical hands-on understanding of the core
methods used in data analytics
Explore correlational methods, affinity analysis
methods, and predictive methods
Discover which analytical method works best for a
specific type of data
Learn how to apply a selected method to build a
model in RapidMiner and interpret its results

Professor Matt North teaches data analytics and data
mining at Utah Valley University. He is a Fulbright
alumnus, a recipient of a Gamma Sigma Alpha Outstanding
Professor Award, and the author of the book "Data Mining
for the Masses". He holds a Doctor of Education degree
from West Virginia University and a Master of Science
from Utah State University

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