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Probability for absolute beginners in Hindi
Rating: 4.2 out of 5(10 ratings)
336 students

Probability for absolute beginners in Hindi

Probability Basics explained clearly
Created byYogesh Kakde
Last updated 8/2022
Hindi

What you'll learn

  • What is probability and why to learn it. Application of probability
  • Basic Terminologies
  • Probabilistic or Random Experiment
  • Sample Space
  • Deterministic Experiments
  • Types of Events
  • Trial
  • Generating Sample Space
  • Algebra of Events
  • Classical Empirical Subjective Axiomatic
  • Mathematics

Course content

1 section5 lectures39m total length
  • Introduction to Probability5:27

    This video give introduction to probability as you know nothing about it and going to learn probability for the first time.

  • Basic Terminologies7:06

    Here you will get the meaning of all the technical terminologies which are required to understand probability.

  • Types of Events and Probability Definition9:24

    In the easiest way, Event and various types of events you will learn here.

  • Approaches to Probability8:56

    There are many approaches to probability that you must know. Here you will get the easiest way to understand

  • Generating Sample Space8:45

    Generating sample space varies according to to the type of problem. Here I made it very easy to understand.

Requirements

  • Basic Mathematics

Description

If you know nothing about probability then, this course is for you. Get a quick detailed explanation of probability.

In this course you will learn followings:

Probability of something happening based on an individual’s own experience or personal judgment

1 Introduction to Probability

2 Basic Terms to Probability

3 Types of Events and Probability Definition

4 Approaches to Probability

5 Generating Sample Space

In this course we have divided all problems related to probability that are asked in exams into three categories:

1. When N(E) and N(S) are determined by counting the elements of EVENT and SAMPLE SPACE.

2. When N(E) and N(S) are calculated by applying permutation and combination.

3. Problems based on P(E) + P(E’) = 1

When an event has a lot of outcomes, then we use this concept.



I will also explain you

History of Probability.

What is probability and why to learn it?

Here I am trying to give a detailed explanation of probability in very short time.

We will also discuss following approaches to find probability:

Classical

Empirical

Subjective

Axiomatic


Algebra of events will also be discussed in which UNION, INTERSECTION, and Complementary and may similar concepts will be discussed.

This course also covers some popular theorems that are very frequently asked and mandatory to learn including Addition theorem of Probability and Multiplication theorem of Probability.

Generating Sample Space: Generation of sample is very important to solve any problem. Since many scenarios are presented in different types of problems. So I will explain you how to we can generate sample space for any type of problem you may face.

Who this course is for:

  • Students from 8th standards onwards
  • Data Science Learners
  • Probability and statistics learner
  • statistician
  • data analyst