Introduction to Basic Statistical Concepts
This course is part of Statistics, Confidence Intervals and Hypothesis Tests.
This foundational statistics course provides a thorough introduction to core statistical concepts and probability distributions. Students learn about various distributions including Bernoulli, binomial, Poisson, and normal, with special focus on the Central Limit Theorem. The course covers essential topics in descriptive statistics and estimation methods, including maximum likelihood estimation and method of moments. Through practical examples and computational exercises, students develop a solid understanding of statistical theory and its applications.
6,448 already enrolled
Instructors:
English
English
Powered by
What you'll learn
Master key probability distributions and their applications
Understand and apply the Central Limit Theorem
Develop proficiency in descriptive statistical methods
Learn parameter estimation techniques
Apply statistical sampling distributions effectively
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 2 modules in this course
This comprehensive course introduces fundamental statistical concepts and probability distributions. The curriculum progresses from basic probability distributions to advanced topics like the Central Limit Theorem and parameter estimation techniques. Students learn both theoretical foundations and practical applications through detailed examples and computational exercises. The course emphasizes understanding of normal distribution, descriptive statistics, and various estimation methods including maximum likelihood and method of moments.
Distributions
Module 1
Getting Started with Statistics
Module 2
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, Confidence Intervals and Hypothesis Tests
Instructor
8 Courses
A Distinguished Scholar in Operations Research and Simulation
David Goldsman serves as the Coca-Cola Foundation Professor in the School of Industrial and Systems Engineering at Georgia Tech, where he has established himself as a leading expert in computer simulation and applied statistics since 1984. After completing degrees from Syracuse University (BS/BA in Math/Physics, MS in Math and Computer Science) and Cornell University (MS and PhD in Operations Research), he has made seminal contributions to simulation methodology and applications. His research focuses on computer simulation with emphasis on statistical output analysis, applied probability, ranking and selection, and applications in health systems and airline safety. His excellence has been recognized through numerous awards including the 2023 INFORMS Simulation Society Lifetime Professional Achievement Award, the 2020 INFORMS Fellow Award, and multiple teaching honors including the Alpha Pi Mu Teacher of the Year Award. Beyond his research contributions, which include over 80 journal articles garnering more than 8,800 citations, he has supervised 34 PhD students and served in key leadership roles including Director of Master's Programs at Georgia Tech's ISyE school. His impact extends beyond academia through consulting work in healthcare, airlines, automotive, and banking industries, while maintaining active involvement in professional societies and editorial boards of leading journals in the field.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.