Course Description

This course covers the essential concepts of probability distributions, including discrete and continuous distributions. Participants will explore key statistical distributions and their applications in real-world scenarios.

Learning Outcomes

• Understand and differentiate between discrete and continuous probability distributions.
• Compute expected values, variances, and probabilities for various distributions.
• Apply permutations, combinations, and probability rules.
• Use the normal approximation for binomial and Poisson distributions.
• Perform hands-on statistical analysis using R.

Course Structure

Day	Topics
Day 1	Introduction to Random Variables and Probability-Mass Functions
Day 2	Binomial and Poisson Distributions, Expected Values and Variances
Day 3	Continuous Distributions and Normal Distribution Properties
Day 4	Transformations and Approximations of Distributions
Day 5	Applications in R and Case Studies

Teaching and Learning Strategy

Lectures, coding exercises in R, discussions, and problem-solving activities.

Assessment Strategy

Practical exercises (30%), quizzes (20%), and a final project (50%).

Certification and Career Opportunities

Successful participants receive a certificate and gain essential skills for data analytics roles.

Contact Information

Email: train@globalstatsol.com | Website: www.globalstatsol.com