University of Colorado Boulder - Communicating Business Analytics Results
- Offered byCoursera
Communicating Business Analytics Results at Coursera Overview
Duration | 7 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Communicating Business Analytics Results at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 5 in the Advanced Business Analytics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 7 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Communicating Business Analytics Results at Coursera Course details
- The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.
Communicating Business Analytics Results at Coursera Curriculum
Introduction to the Course
0. Introduction to the Course
1. Information Action Value Chain Redux
2. Analytics in Classic Business Problems
3. Analytics in Emergent Business Problems
Week 1 Quiz
Best Practices in Data Visualization
Module Introduction
Vehicles to Present Quantitative Information
Data Visualization Examples
Graphs in Excel and ASP
Graphical Excellence
Techniques to Display Multiple Variables
Excel Charts to Avoid
Week 2 Quiz
Interpreting, Telling, and Selling
Correlation vs Causation
Common Cognitive Biases
Misleading With Data
Market Experiments: When the action is the question
Know thy Audience
Telling compelling stories
Making It Real
Week 3 Quiz
Acting on Data
Case Study 1: Experiment Driven Analytics and Customer Churn
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 1
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 2
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 3
Week 4 Quiz
Final Course Assignment
Communicating Business Analytics Results at Coursera Admission Process
Important Dates
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