Udemy - The Ultimate Probability Bootcamp [New 2021]
"softddl.org"
15-11-2021, 13:30
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 140 lectures (6h 18m) | Size: 1.43 GB
Learn Probability for Statistics, Data Science, Business decisions and Bayes' Theorem for Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 140 lectures (6h 18m) | Size: 1.43 GB
Learn Probability for Statistics, Data Science, Business decisions and Bayes' Theorem for Machine Learning
What you'll learn:
Learn probability theory from scratch
You will learn Different types of distributions: Normal, Binomial, Poisson...
Learn set theory, permutation and combination in details
Understand how to link probability with statistics
You will learn how to apply Bayes' theorem
You will learn mutually and non-mutually exclusive laws of probability
You will learn dependent and independent events of probaility
A lot more...
Requirements
Basic maths
Description
In this highly comprehensive probability course, you learn everything from Set theory, Combinatorics to Probability with tons of challenges and solutions. Probability is one of the bedrock of modern science such as machine learning, predictive risk management, inferential statistics, and business decisions. Understanding the depth of probability will empower you to solve numerous day-to-day business and scientific prediction problems. This course includes but is not limited to:
Sets
Universal Set
Proper and Improper Subset
Super Set and Singleton Set
Null or Empty Set
Power Set
Equal and Equivalent Set
Set Builder Notations
Cardinality of Set
Set Operations
Laws of Sets
Finite and Infinite Set
Number Sets
Venn Diagram
Union, Intersection, and Complement of Set
Factorial
Permutations
Combinations
Theoretical Probability
Empirical Probability
Addition Rules of Probability
Mutual and Non-mutual Exclusive
Multiplication Rules of Probability
Dependent and Independent Events
Random Variable
Discrete and Continuous Variable
Z-Score
Conditional Probability
Bayes Theorem
Binomial Distribution
Poisson Distribution
Normal Distribution
Skewness and Kurtisos
T - Distribution
Decision Tree of Probability
Who is this course for:
Those starting from scratch in probability
Current students studying probability
Professional in the field of Data Science
Professionals in the banking industry
Professionals in the insurance industry
Who this course is for
Students and professionals
Those who need to understand how to apply probability to solve problems
Homepage
https://www.udemy.com/course/probability-statistics-mathematics/
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