Probability for Statistics and Data Science

Course Overview

Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business. What most people don’t realize

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Last updated Fri, 04-Jun-2021
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Course overview

Course Overview

Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business. What most people don’t realize is that having a probabilistic mindset is much more important than knowing “absolute truths”. This is the place where you’ll take your career to the next level – that of probability, conditional probability, Bayesian probability, and probability distributions.

 

Target Audience

  • Business analysts
  • Business executives
  • Data analysts
  • Aspiring data scientists
  • Aspiring BI analysts

 

Learning Objectives

  • Understand probability theory
  • Discover Combinatorics
  • Learn how to use and interpret Bayesian Notation
  • Different types of distributions variables can follow

 

Business Outcomes

People who take this course will develop a data-driven approach to problems and a probabilistic mindset
.

 

What will i learn?

Requirements
Curriculum for this course
65 Lessons 3 hrs 30 mins
Probability for Statistics and Data Science
1 Lessons 03:30:00 Hours
  • Probability for Statistics and Data Science
    Preview 03:30:00
Module 1
6 Lessons
  • What does the course cover?
    Preview .
  • The Basic Probability Formula
    Preview .
  • Course Notes - Basic Probability
    Preview .
  • Computing Expected Values
    Preview .
  • Frequency
    Preview .
  • Events and their complements
    Preview .
Module 2
16 Lessons
  • Fundamentals of Combinatorics
    Preview .
  • Course Notes - Combinatorics
    Preview .
  • Permutations and how to use them
    Preview .
  • Simple operations with factorials
    Preview .
  • Solving Variations with Repetition
    Preview .
  • Solving Variations without Repetition
    Preview .
  • Solving Combinations
    Preview .
  • Combinations With Repetition
    Preview .
  • Symmetry of Combinations
    Preview .
  • Symmetry Explained
    Preview .
  • Solving Combinations with separate sample spaces
    Preview .
  • Probability in real-life: the lottery
    Preview .
  • A recap of Combinatorics
    Preview .
  • A Practical Example of Combinatorics
    Preview .
  • Additional Exercises Combinatorics
    Preview .
  • Additional Exercises Combinatorics Solutions
    Preview .
Module 3
16 Lessons
  • Sets and Events
    Preview .
  • Course Notes - Bayesian Inference
    Preview .
  • Ways Sets Can Interact
    Preview .
  • Sets: Intersection
    Preview .
  • Sets: Union
    Preview .
  • Sets: Mutually Exclusive
    Preview .
  • Dependent and Independent Events
    Preview .
  • The Conditional Probability Formula
    Preview .
  • The Law of Total Probability
    Preview .
  • Additive Rule
    Preview .
  • Multiplicative Law
    Preview .
  • Bayes Law
    Preview .
  • A Practical Example of Bayesian Inference
    Preview .
  • CDS_2017-2018 Hamilton
    Preview .
  • Bayesian Homework
    Preview .
  • Bayesian Homework - Solutions
    Preview .
Module 4
23 Lessons
  • Continuous Distributions: Normal Distributions
    Preview .
  • Daily Views
    Preview .
  • Daily Views (post)
    Preview .
  • Customers_Membership
    Preview .
  • Customers_Membership (post)
    Preview .
  • A Practical Example of Probability Distributions
    Preview .
  • Continuous Distributions: Logistic Distribution
    Preview .
  • Continuous Distributions: Exponential Distribution
    Preview .
  • Continuous Distributions: Chi-Squared Distribution
    Preview .
  • Continuous Distributions: Students' T Distribution
    Preview .
  • Continuous Distributions: Standard Normal Distribution
    Preview .
  • Normal Distribution - Expected Value and Variance
    Preview .
  • Course Notes - Probability Distributions
    Preview .
  • Solving Integrals
    Preview .
  • Characteristics of Continuous Distributions
    Preview .
  • Poisson - Expected Value and Variance
    Preview .
  • Discrete Distributions: Poisson Distribution
    Preview .
  • Discrete Distributions: Binomial Distribution
    Preview .
  • Discrete Distributions: The Bernoulli Distribution
    Preview .
  • Discrete Distributions: The Uniform Distribution
    Preview .
  • Characteristics of Discrete Distributions
    Preview .
  • Types of Probability Distributions
    Preview .
  • Fundamentals of Probability Distributions
    Preview .
Module 5
3 Lessons
  • Probability in Finance
    Preview .
  • Probability in Statistics
    Preview .
  • Probability in Data Science
    Preview .
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Includes:
  • 3 hrs 30 mins On demand videos
  • 65 Lessons
  • Access on mobile and tv
  • Full lifetime access