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.
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CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
- 5 stars64.31%
- 4 stars24.68%
- 3 stars8.09%
- 2 stars1.45%
- 1 star1.45%
COMMUNICATING BUSINESS ANALYTICS RESULTS의 최상위 리뷰
The case study walk through in week4 for customer segmentation and churn was highly informative.
Great introduction , very detailed. Recommend to everyone good development practice.
The course is great, the only thing is the author speak too fast for audience.
I really enjoyed the materials presented in this course. I wish recommendations on reference books were provided in any of these courses.
Advanced Business Analytics 특화 과정 정보
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.
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