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Business Analytics Practices and Applications
Business Analytics Practices and Applications - on-line training class
 
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3-hour Online Course by Bonnie Politano
Single-user access license
Our Price: $285.00

Product Code: BI-05-A


Course Exam [Add $80.00]

Description Course Outline Exam Details
 

Businesses are forever challenged to provide better and better analytics to their stakeholders. This quest for more analytics can often lead to implementation headaches and less actual value added to an organization. Today’s analytic problems require both a broad and deep understanding of all the analytic tools available in the market.

Further complicating this issue is the topic of Big Data Analytics. Some organizations treat big data as a new island of analytics, some try to combine Big Data and traditional analytics, while others totally ignore Big Data.

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An all encompassing approach to Advanced Analytics is the answer. An understanding of all the traditional techniques as well as Big Data techniques will provide a holistic view of how to solve today's complex analytic problems.

Through this online training course, you will learn all the components in today's market to address advanced analytics and a way to look holistically at how to apply these tools. You will also learn how to bridge the gap between traditional analytics and Big Data Analytics. It is not about the bells and whistles of the tools, but how to align the tools with the particular analytic need facing your organization.


You will learn:
  • Comprehensive classification of business analytics techniques
  • When and how to apply advanced visualizations, data mining, and statistical analysis
  • What is Big Data Analytics and how to combine it with traditional analytics
  • How to use analysis chains to cross the boundary of Big Data and Data Warehousing

This course is geared towards:
  • Business analysts and business analytics professionals
  • Managers looking to leverage advanced analytics
  • IT professionals looking to combine Big Data and traditional data analytics
  • Architects responsible for advanced analytics
  • Anyone who uses analytics, visualization, or Big Data analytics

Average Customer Review: 4.5 of 5 Total Reviews: 2 Write a review.

  0 of 0 people found the following review helpful:
 
Course Review February 2, 2016
Reviewer: Sikke Van Der Zee  
The e-learning got stuck with some of the examples in the advanced visualiszation (e.g. slide 31). Good overview of various aspects related to Analytics.

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  0 of 0 people found the following review helpful:
 
Course Review April 13, 2015
Reviewer: Roman Andrade  
I like the way the instructor delivered the knowledge. Her methodology is good for this subject.

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