This course is included at no additional cost for Decision Support Network members who participate in a Knowledge Sharing Board® (In the payment section, select DSN Members to enroll for free).
Want to learn how to avoid poor decisions with data?
Making well-informed decisions using data can provide a significant competitive edge in business. This statistics and data analysis course will teach you the fundamental principles of solid statistical thinking that can be applied in a variety of contexts, even before data is available. Key concepts such as understanding variation, assessing the relative risk of different decisions, and identifying sources of variation will be emphasized.
These overarching ideas have inspired the creation of quantitative models, but in many traditional statistics courses, these concepts are often overshadowed by numerous techniques and computations. In this course, we maintain a focus on the essential ideas and demonstrate them with engaging, practical, and accessible examples.
We will delve into questions such as: How do traditional statistical methods remain relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when tackling quantitative problems? How can statistical methods be applied in predictive scenarios? How can we enhance our understanding of customer engagement through analytics?
This course is designed for anyone looking to develop a framework for sound decision-making. It is also excellent preparation for students with a bachelor’s degree who are considering graduate studies in a business field.
Currently, there are abundant opportunities in analytics. While specific techniques or software packages may help secure initial jobs, they may soon be replaced by newer trends. However, understanding the fundamental workings of quantitative models is a valuable management skill that will remain relevant.
Course Features
- Lectures 5
- Quizzes 0
- Duration 4 weeks
- Skill level Intermediate
- Language English
- Students 21
- Certificate No
- Assessments Yes