Master statistical hypothesis testing using Python and Excel, focusing on population means and proportions for data-driven business decisions.
Master statistical hypothesis testing using Python and Excel, focusing on population means and proportions for data-driven business decisions.
This practical course teaches the fundamentals of hypothesis testing for business analytics, focusing on population means and proportions. Students learn to apply the central limit theorem and conduct statistical tests using both Excel and Python. The course combines theoretical knowledge with hands-on practice, enabling learners to design and implement hypothesis tests in real business scenarios. Perfect for professionals seeking to enhance their data analysis capabilities.
4.2
(23 ratings)
3,283 already enrolled
Instructors:
English
What you'll learn
Conduct hypothesis tests effectively using Python
Apply statistical testing in workplace scenarios
Perform hypothesis testing with Excel
Understand the central limit theorem
Analyze population means and proportions
Design experimental plans for business applications
Skills you'll gain
This course includes:
24 Minutes PreRecorded video
3 assignments, 1 peer review, 2 ungraded labs
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This comprehensive course covers essential concepts in hypothesis testing for business analytics. Students learn to test population means and proportions using both Excel and Python, understand the central limit theorem, and apply these skills to real-world business scenarios. The curriculum combines theoretical foundations with practical applications, preparing learners to conduct meaningful statistical analysis in professional settings.
Hypothesis Testing
Module 1 · 5 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Data Analytics Expert and Supply Chain Management Specialis
Dr. Gerald S. Brown serves as Part-time Senior Lecturer at the Gordon Institute of Tufts University, where he specializes in process improvement and supply chain management. His professional experience includes positions at IBM-France and Andersen Consulting, bringing practical industry expertise to his academic role. At Tufts, he teaches courses focusing on data analytics, process improvement methodologies, and supply chain optimization. His teaching approach combines theoretical foundations with practical applications, as demonstrated in his Coursera course "Hypothesis Testing with Python and Excel," which has enrolled over 3,000 students. The course reflects his expertise in applying statistical methods to business problems, teaching fundamental concepts of hypothesis testing using both Excel and Python. His work emphasizes the importance of data-driven decision-making in modern business environments, particularly in supply chain management and process optimization contexts.
Operations Management Expert and Analytics Specialist
Dr. Kishore K. Pochampally serves as Professor of Quantitative Studies, Operations and Project Management at Southern New Hampshire University and Part-time Senior Lecturer at Tufts University's Gordon Institute. His academic journey includes postdoctoral work at MIT's Sloan School of Management, a Ph.D. and M.S. in Industrial Engineering from Northeastern University, and a B.E. in Mechanical Engineering from the National Institute of Technology in India. His expertise spans lean six sigma, business analytics, project management, and operations management, earning him two nominations for SNHU's teaching excellence award. He holds prestigious certifications including Six Sigma Black Belt (ASQ), Project Management Professional (PMP®), and Certified Analytics Professional (CAP®). His research impact is evidenced by citations across six continents and four published books in six sigma, reliability analysis, supply chain design, and design of experiments. Through his Coursera course "Hypothesis Testing with Python and Excel," he helps students master data analysis techniques while conducting corporate workshops on lean six sigma and project management, training professionals for PMP® and six sigma certification exams.
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4.2 course rating
23 ratings
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