Learn Probability concepts and counting techniques

Master probability and counting problems with our hands-on course, featuring quizzes and examples designed for beginners and those looking to enhance their statistics knowledge.

  • Overview
  • Curriculum
  • Instructor
  • Review

Brief Summary

This course dives into probability and counting problems with lots of quizzes and real-life examples. It's perfect for anyone wanting to grasp these concepts in a chill, hands-on way, whether you're prepping for a stats class or just curious about probability.

Key Points

  • Learn to solve probability and counting problems
  • Focus on fundamental concepts of probability and basic counting
  • Designed for self-paced learning
  • Emphasis on understanding through hands-on problems
  • Ideal for programming, nursing, and business students

Learning Outcomes

  • Understand key probability concepts
  • Solve common probability problems
  • Compute conditional probabilities
  • Use addition and multiplication rules in probability
  • Gain skills for logical thinking in various fields

About This Course

Learn how to solve probability and counting problems through this hands-on course with many quizzes and solved problems.

This course covers the fundamental concepts of probability, basic counting and discrete random variables as taught in a first year introductory basic statistics class in colleges.
It is intended to students who want to learn at their own space or supplement a course note. It is also intended to anyone who wants to understand the concepts of probability through hands-on carefully selected problems that explain in plain English the concepts.

This class is a result of many years of teaching college level introductory statistics courses and it designed to help students understand probability concepts and especially to pay attention to the technical English language and the logic of probability.

Whether you are trying to pass an Introductory statistic course or you want to understand probability concepts, this is the course for you. It is a must for everyone especially people aspiring to programming careers, nursing, business, and especially to fields where logical thinking is important.

  • By the end of this course you will understand probability concepts and be able to solve commons probability problems

  • By the end of this course, you will be able to compute conditional probabilities

  • By the end of this course, you will be able to understand how to solve probability problems using the addition and multiplicative rules.

Course Curriculum

1 Lectures

2 Lectures

1 Lectures

Instructor

Profile photo of Luc Zio
Luc Zio

I  have over 20 years of work experience in the field of statistics as an Applied Statistician. For the last  twelve years, I have also  been teaching undergraduate college level statistics courses at St Petersburg College,Florida, USA.As a Data scientist, my interests lie in applying Data science techniques (Exploratory Data Analyses, Statistical analyses and other Machine Learning) to real world...

Review
4.9 course rating
4K ratings
ui-avatar of Pe Hue
Pe H.
2.0
9 years ago

No real explanations of the formulas. Examples are ok.

  • Helpful
  • Not helpful
ui-avatar of Chris M
Chris M.
5.0
9 years ago

Luc Zio's course is a great course if you want to get to the meat and bones. Explanations are very succinct.

  • Helpful
  • Not helpful
ui-avatar of Kalbi
Kalbi
5.0
11 years ago

The course is well design for a variety of background and taught with an easy and intelligible style.
The course provides clear explanation of common concepts in probability, and techniques to compute probabilities
The course also elaborates on counting techniques, permutations and combinations
The course provides easy techniques to help compute probability from discrete distribution such as Bernoulli, Binomial, Poison, Geometric, Negative Binomial, and Hypergeometric

  • Helpful
  • Not helpful
Leave A Reply

Your email address will not be published. Required fields are marked *

Ratings

Courses You May Like

Lorem ipsum dolor sit amet elit
Show More Courses