Learn Probability concepts and counting techniques
What you'll learn
- 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.
- By the end of this course, you will be able to solve basic counting problems using permutations and combinations formulas
- By the end of this course, you will be able to compute probabilities using the Poisson distribution
- By the end of this course, you will be able to compute probabilities using the Binomial distribution
- By the end of this course you will understand how to solve problems using the Hypergeometric distribution
- By the end of this course, you will be able to compute probabilities using the multinomial distribution
- By the end of this course, you will be able to compute probabilities using the Geometric and Negative Binomial (or Pascal) distribution
Requirements
- General knowledge of descriptive statistics, basic algebra
- A strong desire to learn probability concepts.
Description
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.
Who this course is for:
- College students, programmers and anyone interested in understanding probablity
- People studying liberal arts, law and any other field where critical reasoning and logical thinking is very important
- Anyone interested in understanding basic probability theory
Course content
- Preview06:36
Instructor
![Luc Zio](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 184 Reviews
- 3,150 Students
- 7 Courses
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 data related to many domains such as Education, Health, Migration, Development, etc. Through my courses, you will find that most of the datasets that I used are from the UN databases of World countries.