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Data Mining Concepts and Techniques
Data Mining Concepts and Techniques - online training course
 
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3-hour Online Course by Deanne Larson
Single-user access license
Our Price: $295.00


Product Code: BA-06-A


Course Exam [Add $100.00]

Description Course Outline Exam Details
 
Data mining originated primarily from researchers running into challenges posed by new data sets. Data mining is not a new area, but has re-emerged as data science because of new data sources such as Big Data. This course focuses on defining both data mining and data science and provides a review of the concepts, processes, and techniques used in each area.

This 3-hour online course will give you insight into the data mining process, explain models and algorithms, and give an understanding of how to match the right data mining models to the right problems.

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You will learn:
  • The definitions of data mining and data science
  • The role of statistics in data mining
  • Machine learning concepts
  • To differentiate between supervised and unsupervised learning
  • The data mining process
  • How to conduct exploratory data analysis
  • To identify data mining models and algorithms
  • How to match the problem with the model
  • Model validation techniques
  • How to deploy data mining models
This course is geared towards:
  • Analysts looking to gain foundational data mining knowledge
  • Analysts looking to understand data mining models
  • Analysts looking to apply the right data mining models to the right problem
  • Attendees should have a basic understanding of undergraduate statistics, data types, databases, and data management concepts

Average Customer Review: Average Customer Review: 5 of 5 5 of 5 Total Reviews: 2 Write a review.

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review September 5, 2019
Reviewer: William Carroll  
The instructor would sometimes feel like she was reading verbatim and would just run on. The content was great though.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review March 8, 2018
Reviewer: Roman Andrade  
Great course content, and explanation. Thanks!

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