Communicating Business Analytics Results
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 7 ساعات hours
- الطبع بواسطة University of Colorado Boulder
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Offered by
عن
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.الوحدات
Introduction to the Course
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4
Videos
4
Videos
- 0. Introduction to the Course
- 1. Information Action Value Chain Redux
- 2. Analytics in Classic Business Problems
- 3. Analytics in Emergent Business Problems
Assignments
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2
Discussion
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1
Assignment
1
Assignment
- Week 1 Quiz
2
Discussions
- Types of Analytical Problems
- Is This a New Type of Analysis?
Best Practices in Data Visualization
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7
Videos
7
Videos
- 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
Assignments
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2
Discussion
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1
Assignment
1
Assignment
- Week 2 Quiz
2
Discussions
- Share an Example of Effective or Ineffective Visualization
- Annual Energy Review Graph
Interpreting, Correcting, and Avoiding Pitfalls
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4
Videos
4
Videos
- Correlation vs Causation
- Common Cognitive Biases
- Misleading With Data
- Market Experiments: When the action is the question
Telling & Selling
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3
Videos
3
Videos
- Know thy Audience
- Telling compelling stories
- Making It Real
Assignments
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2
Discussion
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1
Assignment
1
Assignment
- Week 3 Quiz
2
Discussions
- What Examples of Correlation vs. Causation Have You Recently Encountered?
- CNN Article about Four-Day Work Week. Is This a Good Data-Based Argument?
Case Study 1
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1
Videos
1
Videos
- Case Study 1: Experiment Driven Analytics and Customer Churn
Case Study 2
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3
Videos
3
Videos
- 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
Assignments
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2
Discussion
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2
Assignment
2
Assignment
- Week 4 Quiz
- Final Course Assignment
2
Discussions
- Communicating Control Group Results
- The "Science and Art" of Analytics
Auto Summary
"Communicating Business Analytics Results" is an essential foundation course in the Data Science & AI domain, offered by Coursera. This course is designed to bridge the gap between complex analytical models and effective decision-making. It focuses on the critical skill of presenting analytics results to stakeholders who may not have a technical background but require clear and compelling evidence of analysis. Under the expert guidance of experienced instructors, learners will explore the principles of data visualization and the art of crafting insightful data-analytics stories. The course emphasizes choosing the right methods to convey quantitative information effectively, ensuring that your insights lead to successful implementations in a business context. Spanning 420 minutes, this comprehensive course is perfect for beginners who are looking to develop their abilities in communicating data-driven insights. By subscribing to the Starter plan, learners can access this valuable content and enhance their skill set, making it an ideal choice for aspiring data scientists, business analysts, and professionals eager to improve their communication prowess in the analytics field.
Manuel Laguna
Dan Zhang
David Torgerson