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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.
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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
BA-01 Analytics Fundamentals
Module 0. About the Course (6 min)
Module 1. The Analytics Landscape (29 min)
- Overview
- Analytics Defined
- Two Kinds of Analytics
- The Language of Analytics
- Summary
Module 2. Introduction to Business Analytics (49 mins)
- Overview
- What is Business Analytics
- Why Business Analytics Part 1 & 2
- Example: Business Analytics Value
- Strategic Positioning of Business Analytics Part 1˗5
- Industry Use Cases
- Business Function Use Cases
- Summary
Module 3a. Introduction to Data Analytics, Part 1 (73 mins)
- Overview
- What and Why
- Definitions and Context
- Data Sources
- Data Management
Module 3b. Introduction to Data Analytics, Part 2 (57 mins)
- Data Discovery
- Data Analysis
- Summary
Module 4. Analytics Capabilities – Doing the Work (33 mins)
- Overview
- Describing Capabilities
- The Analytics Layer
- Summary
Module 5. Analytic Techniques (58 mins)
- Overview
- Techniques
- Examples Overview
- Linear Regression Example
- Logistic Regression Example
- Decision Tree Example
- Summary
Module 6. Analytics Processes (42 mins)
- Overview
- Oversight Process
- Development Process
- Delivery Process
- Organizations and Processes
- Summary
- Course Summary
Click
–here- to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of analytics.
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You will be tested in these areas:
- Analytics concepts and terminology
- Roles, purposes, and principles of business analytics
- Roles, purposes, and principles of data analytics
- Data sources, types, structures, and platforms
- Concepts and kinds of analytic models
- Discovery, diagnostic, descriptive, predictive, and prescriptive analytics
- A variety of analytics techniques including statistics, probability, regression, and more
- Analytics processes for oversight, development, and delivery
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Additional Information
Number of Questions: 25
Time Limit: 50 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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Course Review 
Course Review from 8/15/2023