This course is part of Statistics for Business Analytics.
This introductory course provides a comprehensive foundation in probability and statistical analysis for business applications. The program is structured across three main topics: basic probability concepts, conditional probability, and the "big 5" probability distributions. Students learn to calculate probabilities in various business scenarios, from customer behavior analysis to resource planning. The course emphasizes practical applications through real-world examples and teaches critical analysis skills essential for data-driven decision making. Designed for beginners, it requires only basic math skills while delivering powerful analytical tools applicable across various business contexts.
Instructors:
English
English
What you'll learn
Master basic probability concepts and calculations
Understand conditional probability in complex business scenarios
Apply probability distributions to real-world business problems
Calculate probabilities for mutually exclusive and independent events
Analyze discrete and continuous probability distributions
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This comprehensive probability course focuses on practical applications in business analytics. Students learn fundamental probability concepts, advanced conditional probability calculations, and the application of major probability distributions. The curriculum is structured into three main topics, covering basic probability calculations, conditional probability scenarios, and the practical use of probability distributions. Through real-world examples and business scenarios, students develop critical analytical skills essential for data-driven decision making.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Statistics for Business Analytics
Instructor

3 Courses
Leading Expert in Labor Economics and Job Satisfaction Research
Dr. Temesgen Kifle serves as Lecturer in the School of Economics at The University of Queensland, where he combines expertise in labor economics with innovative research in education and life satisfaction. After completing his PhD and MA from the University of Bremen, he has established himself as an influential researcher with over 233 citations for his work. His research spans multiple areas including immigrant labor markets, job satisfaction, and higher education assessment, demonstrated through his groundbreaking studies on gender differences in job satisfaction and immigrant occupational mobility in Australia. Through his extensive publication record in premier journals including Economic Analysis and Policy and Work, Employment and Society, he continues to advance understanding of labor market dynamics while maintaining active research in student evaluation methods. His expertise particularly shines in analyzing immigrant experiences in the Australian labor market, demonstrated through influential studies on immigrant job satisfaction and occupational mobility. Currently teaching at UQ's School of Economics while maintaining research collaborations across multiple institutions, he contributes significantly to understanding educational outcomes and labor market dynamics through econometric analysis and empirical research methods. His recent work focuses on making student evaluations fairer for teachers and developing strategies to discourage academic plagiarism, while continuing his research on financial literacy among immigrant populations.
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Frequently asked questions
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