Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Probability And Statistics Masterclass - Making Math Fun

    Posted By: ELK1nG
    Probability And Statistics Masterclass - Making Math Fun

    Probability And Statistics Masterclass - Making Math Fun
    Published 1/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.21 GB | Duration: 13h 30m

    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