Learn everything from Probability, Statistics, Permutation and Combination with walk along practice questions


What you'll learn
Visualizing data, including bar graphs, pie charts, histograms
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Analyzing data, including mean, median, and mode, plus range and IQR and box plots
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
Permutation with examples
Combination with examples

Requirements
Foundation in Mathematics

Description
PROBABILITY & STATISTICS MASTERCLASS IS SET UP TO MAKE LEARNING FUN AND EASYThis 60+ lesson course includes 14 hours of high-quality video and text explanations of everything from Probability, Statistics, Permutation and Combination. Topic is organized into the following sections:Data Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data typesVisualizing data, including bar graphs, pie charts, histograms, and box plotsAnalyzing data, including mean, median, and mode, IQR and box-and-whisker plotsData distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scoresChi Square distribution and Goodness of FitProbability, including union vs. intersection and independent and dependent events and Bayes' theorem, Total Law of ProbabilityHypothesis testing, including inferential statistics, significance levels, test statistics, and p-valuesPermutation with examplesCombination with examplesExpected ValueAND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:We will start with basics and understand the intuition behind each topicVideo lecture explaining the concept with many real life examples so that the concept is drilled inWalkthrough of worked out examples to see different ways of asking question and solving themLogically connected concepts which slowly builds up Enroll today ! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.YOU'LL ALSO GET:Lifetime access to Become a Probability & Statistics MasterclassFriendly support in the Q&A sectionUdemy Certificate of Completion available for download30-day money back guarantee

Overview
Section 1: Getting Started
Lecture 1 Introduction
Section 2: Visualizing Data
Lecture 2 What is a random variable
Lecture 3 Nominal and Ordinal Data
Lecture 4 Data Visualization
Lecture 5 Types of Quartile, Inter Quartile Range
Lecture 6 Types of Quartile, Inter Quartile Range - Example
Section 3: Basics of Statistics
Lecture 7 Standard Devation & Variance
Lecture 8 Sample Standard Deviation
Lecture 9 Co-variance
Lecture 10 Normal Distribution
Lecture 11 Chi Square Distribution
Lecture 12 Chi Square Goodness of Fit
Lecture 13 Association between Categorical variables
Lecture 14 Correlation
Section 4: Introduction to Probability
Lecture 15 Introduction to Probability
Lecture 16 Laws of Probability - Conditional Probability & Bayes Theorem
Lecture 17 Laws of Probability - Mutually Exclusive and Independent Events
Lecture 18 Probability - Examples to Practice - Part1
Lecture 19 Probability - Examples to Practice - Part2
Lecture 20 Chain Rule of Probability
Lecture 21 Chain Rule of Probability - Example
Lecture 22 Chain Rule of Probability - Cards Example
Lecture 23 Birthday Paradox
Lecture 24 Probability - More Examples - Part 1
Lecture 25 Probability - More Examples - Part 2
Lecture 26 Probability - More Examples - Part3
Lecture 27 Probability Trees
Lecture 28 Total Law of Probability
Lecture 29 Total Law of Probability - Example
Lecture 30 Probability - More Examples
Lecture 31 Total Law of Probability - More Examples
Section 5: Introduction to Permutation and Combination through Examples
Lecture 32 Permutation & Combinations - Introduction
Lecture 33 Permutation & Combinations - Examples - Part 1
Lecture 34 Permutation & Combinations - Examples - Part 2
Lecture 35 Permutation & Combinations - Examples - Part 3
Lecture 36 Permutation & Combinations - Examples - Part 4
Lecture 37 Permutation & Combinations - Examples - Part 5
Lecture 38 Permutation & Combinations - Examples - Part 7
Section 6: Permutation through Formula
Lecture 39 Factorial Notation
Lecture 40 Introduction to Permutation - Part 1
Lecture 41 Introduction to Permutation - Part 2
Lecture 42 Introduction to Permutation - Part 3
Lecture 43 Permutation - Examples 1
Lecture 44 Permutation - Part 3 - Examples 1
Lecture 45 Permutation - Part 3 - Examples 2
Lecture 46 Permutation - Examples 2
Lecture 47 Permutation - Examples 3
Lecture 48 Introduction to Permutation - Part 4
Section 7: Introduction to Combination
Lecture 49 Introduction to Combinations
Lecture 50 Combination - More Examples 1
Lecture 51 Combination - More Examples 2
Lecture 52 Combination - More Examples 3
Section 8: Expected Value
Lecture 53 What is Expected Value
Lecture 54 Expected Value - Example1
Lecture 55 Properties of Expected Value - Part1
Lecture 56 Properties of Expected Value - Part2
Lecture 57 Properties of Expected Value - Part3
Lecture 58 Properties of Expected Value - Part4
Lecture 59 Expected Value - Example2
Lecture 60 Expected Value - Example3
Lecture 61 Expected Value - Example4
Section 9: Miscellaneous
Lecture 62 Probability - Examples 1
Lecture 63 Probability - Examples 2
Lecture 64 Probability - Examples 3
Students currently studying probability and statistics or students about to start probability and statistics,Anyone who wants to study math for fun,Anyone wanting to learn foundational Maths for Data Science

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