Home > Packages >

Analytics Fundamentals
Analytics Fundamentals- online training course
 
Alternative Views:


6-hour Online Course by Mark Peco and Dave Wells
Single-user access license
Our Price: $570.00


Product Code: BA-01-A


Course Exam [Add $100.00]

Description Course Outline Exam Details
 

Analytics is a mainstream topic in almost every walk of life today. In business, it is discussed in the boardroom, at strategy sessions, in operational settings, in marketing campaigns and in technology groups. In everyday life, it is used to manage social networks, personal fitness, personal health, and much more.

Analytics offers tremendous potential for organizations to improve competitive positioning, generate new insights, guide decision makers, and shape positive outcomes. Success with analytics requires a understanding of many parts that must work together to turn potential into results. The ability to harness data, technology, people, and processes cohesively is fundamental to success.

Click to play Course Sneak Peek

This 6-hour online course provides a foundation to understand the scope and the key success factors of analytics. Concepts and terminology are introduced, and scope of analytics is discussed to set context and provide a frame of reference for topics that follow. Business analytics is described and made tangible through a variety of industry use cases and functional examples. Data analytics is presented as the set of information building blocks to enable the business analytics applications. Breadth of analytics possibilities is described using a capabilities framework to position a wide range of algorithms and modeling techniques.

You will learn:
  • Key definitions, concepts and terminology of analytics
  • Business analytics use cases and functional applications
  • Descriptions and scope of data analytics
  • Common analytics techniques and how they can be applied
  • Some analytics examples used to address a variety of applications
  • Key processes and methodologies to manage analytics work and activities
This course is geared towards:
  • Business Managers and Executives
  • Technology Managers and Executives
  • Business Analysts
  • Statisticians and Analytic Modelers
  • Process Managers and Decision Makers
  • Business Measurement and Performance Analysts
  • IT Analysts and Developers
  • Data Management Analysts
  • Technology and Business Architects
  • BI and Analytics Program Managers and Team Members
  • Anyone with interest to understanding analytics capabilities, opportunities and challenges

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 46 Write a review.

  0 of 0 people found the following review helpful:
 
4 of 5 Course Review April 2, 2024
Reviewer: Dave Sesbreno  
More details in manual that is in the presentation.

Was this review helpful to you?

  0 of 0 people found the following review helpful:
 
4 of 5 Course Review April 2, 2024
Reviewer: Riccardo Graci  
This course has been very interesting and important because it helped me to learn many aspects around especially Data Analytics and its techniques. Being part of the Master Data Team I consider this course as the baseline/prerequisite.

Was this review helpful to you?

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 8/15/2023 January 27, 2024
Reviewer: Bhavya NB  
This course explained a lot which is not that easy to digest/relate for people who does not have any experience in managing data.

Was this review helpful to you?

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 7/18/2023 January 27, 2024
Reviewer: Ting Shi Ing  
subtitles will be good

Was this review helpful to you?

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 7/12/2023 January 27, 2024
Reviewer: Yuen Hoon Lee  
No comment.

Was this review helpful to you?

View All Customer Reviews

Browse for more products in the same category as this item:

Packages
Instructors > David Wells
Instructors > Mark Peco
Instructors
Courses
Courses > Data Analysis