Probability Distributions

Quantic’s “Probability Distributions” course is designed to develop your probability prowess by exploring distribution principles and commonly encountered probability distributions. Here are the key topics covered in this course:

1. Probability Distributions: The Basics:
   • Understand random variables (both discrete and continuous).
   • Learn about probability distributions and their characteristics.

2. Shapes and Calculations:
   • Identify basic distribution shapes.
   • Perform calculations related to discrete distributions.

3. Expected Value and Its Associates:
   • Define expected value and explore ways of working with it.
   • Understand concepts like variance and skewness.

4. Binomial, Poisson, and Normal Distributions:
   • Discover useful information from probability distributions.
   • Learn about binomial, Poisson, and normal distributions.
   • Understand parameters, outcomes of interest, and graph shapes.

5. Empirical Rule and Z-Scores:
   • Apply the Empirical Rule to determine probabilities in a normal distribution.
   • Calculate Z-scores and read Z-tables.

Throughout the course, you’ll gain practical insights and build a solid foundation in probability distributions. Whether you’re a business professional, data analyst, or curious learner, this course equips you with essential skills for data-driven decision-making¹