Course Summary
Learn how to effectively communicate business analytics results to stakeholders by utilizing data visualization, storytelling, and other techniques in this comprehensive course.Key Learning Points
- Understand the importance of effectively communicating data analysis results to stakeholders
- Learn how to use data visualization and storytelling to make complex data more accessible to a wider audience
- Gain hands-on experience by working on real-life case studies
Job Positions & Salaries of people who have taken this course might have
- USA: $68,000
- India: ₹525,000
- Spain: €32,000
- USA: $68,000
- India: ₹525,000
- Spain: €32,000
- USA: $62,000
- India: ₹455,000
- Spain: €28,000
- USA: $68,000
- India: ₹525,000
- Spain: €32,000
- USA: $62,000
- India: ₹455,000
- Spain: €28,000
- USA: $76,000
- India: ₹600,000
- Spain: €36,000
Related Topics for further study
Learning Outcomes
- Ability to effectively communicate data analysis results to stakeholders
- Proficiency in data visualization techniques
- Experience working on real-life case studies
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data analysis
- Familiarity with data visualization tools
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Approximately 24 hours to complete
- Flexible deadlines
Similar Courses
- Data Visualization and Communication with Tableau
- Data Analysis and Presentation Skills: the PwC Approach
Related Education Paths
Notable People in This Field
- Cole Nussbaumer Knaflic
- Nathan Yau
Related Books
Description
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.
Outline
- 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
Summary of User Reviews
This course on Communicating Business Analytics Results has received positive reviews, with many users praising its practical applications and real-world examples. The overall consensus is that it is a valuable course for individuals looking to improve their communication skills in the field of business analytics.Key Aspect Users Liked About This Course
Many users thought the real-world examples provided in the course were very helpful in understanding how to communicate business analytics results effectively.Pros from User Reviews
- Practical applications of communication skills in the field of business analytics
- Real-world examples provided for better understanding
- Valuable insights on how to present data in a meaningful way
Cons from User Reviews
- Some users found the course to be too basic
- The course may not be suitable for advanced learners
- The course may not be relevant for individuals outside the field of business analytics
Manuel Laguna
4.5 Raiting
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