Applied Analytics and Data for Decision Making
Master data-driven decision making through operational excellence frameworks, root cause analysis, and comprehensive case studies in business.
Master data-driven decision making through operational excellence frameworks, root cause analysis, and comprehensive case studies in business.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data-Driven Decision Making (DDDM) Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(104 ratings)
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Instructors:
English
Tiếng Việt
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What you'll learn
Identify root causes of operational variations using data analysis
Apply Design of Experiments (DOE) for testing solutions
Evaluate operational excellence methodologies for organizational value
Implement data-driven decision making in real business scenarios
Develop a culture of data literacy and ethical data practices
Skills you'll gain
This course includes:
1.6 Hours PreRecorded video
3 quizzes
Access on Mobile, Desktop
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course prepares learners to leverage data analytics for improved decision-making in business operations. It covers essential topics including root cause analysis, solution testing, and operational excellence methodologies like ISO, Lean, and Six Sigma. Through case studies in hospitality, manufacturing, and e-commerce, students learn to build data literacy while ensuring ethical data practices. The course emphasizes practical application through project work and real-world examples.
Applying Analytics to Implement Solutions
Module 1 · 2 Hours to complete
Data-Driven Operational Excellence
Module 2 · 2 Hours to complete
Applying Data-Driven Decisions
Module 3 · 3 Hours to complete
Project: Applied Analytics and Data for Decision Making
Module 4 · 2 Hours to complete
Fee Structure
Instructors
CEO and Co-Founder Helping Businesses Build Efficient Software Solutions
Akshay Sivadas is the co-founder and CEO of Quicware, where he supports startups and small-to-medium businesses in developing software products and building effective teams. With a background in mechanical engineering from the University at Buffalo, he previously worked with manufacturers to enhance operational efficiency by applying ISO standards, lean practices, and six sigma methodologies.
Senior Business Intelligence Analyst and Instructor at The State University of New York
Brittany O'Dea is a Senior Business Intelligence Analyst at Delaware North, a global hospitality company, where she leads the analytics team for the gaming division. In her role, she focuses on evaluating and implementing analytics and data visualization platforms, developing best practices for onboarding and training new analysts. Brittany's background includes serving as the marketing director for one of the largest auction houses in the Buffalo-Niagara region. She holds an MBA from the University at Buffalo, specializing in finance and analytics.On Coursera, Brittany teaches courses such as "Applied Analytics and Data for Decision Making" and "Data Analysis and Visualization," aimed at equipping professionals with essential skills for data-driven decision-making. Her expertise in analytics and commitment to fostering a data-centric culture in organizations make her a valuable resource for students looking to enhance their analytical capabilities.
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4.6 course rating
104 ratings
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