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RELEASE NAME....: Lynda.com.Data.Science.Foundations.Data.Mining-ELOHiM
RELEASE DATE....: 2016-09-07
RELEASE SIZE....: 41x15Mb
FORMAT..........: Bookware
LANGUAGE........: English
URL.............: http://www.lynda.com
All data science begins with good data. Data mining is a framework for
collecting, searching, and filtering raw data in a systematic matter,
ensuring you have clean data from the start. It also helps you parse large
data sets, and get at the most meaningful, useful information. This
course, Data Science Foundations: Data Mining, is designed to provide a
solid point of entry to all the tools, techniques, and tactical thinking
behind data mining.Barton Poulson covers data sources and types, the
languages and software used in data mining (including R and Python), and
specific task-based lessons that help you practice the most common
data-mining techniques: text mining, data clustering, association
analysis, and more. This course is an absolute necessity for those
interested in joining the data science workforce, and for those who need
to obtain more experience in data mining.
Topics include:
* Prerequisites for data mining
* Data mining using R, Python, Orange, and RapidMiner
* Data reduction
* Data clustering
* Anomaly detection
* Association analysis
* Regression analysis
* Sequence mining
* Text mining
Subjects: Business, Business Intelligence, Big Data, IT, Data Analysis
Author: Barton Poulson
Level: Intermediate
Duration: 4h 23m
Released: 9/6/2016