Shashank Gupta

, Maths Expert

  Premium
Curriculum
  • 7 sections
  • 15 Topics
  • 03 H 33 Mins
  • Intro Video
    01:30
4 Topics / 01 H 01 Mins
  • Random Experiments, Outcome and Sample Space
    13:12
  • Events and Three Important Events
    16:53
  • Classical Definition of Probability
    19:58
  • Problems and Solutions
    10:57
4 Topics / 49 Mins 11 Secs
  • Dependent & Independent Events & Conditional P.P
    13:03
  • Addition Theory on Probability
    12:36
  • Multiplication Theory on Probability
    12:57
  • Problems and Solutions
    10:35
4 Topics / 01 H 00 Mins
  • Binomial Probability Theorem
    09:56
  • Total Probability Theorem
    15:12
  • Bayes' Theorem
    19:05
  • Problems and Solutions
    16:12
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Course Highlights
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyCertificate of completion
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyIntegrated projects and quizzes
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyAdditional study materials
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyLearn anytime, anywhere
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyCompletely self-paced

About this course

Intermediate

e learning platforms uum online learning online class free online courses digital marketing courses udemy 29 views

5.0 (65)

Probability is the branch of mathematics that tells the occurrence of an event. In our real life, we can see several situations where we can predict the outcomes of events in statistics. These outcomes may be specific or uncertain to occur. The formula of probability is the ratio of favorable events to the total number of events in an experiment. The...

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Skills you will learn

  • Bayes theorem
  • Binomial probability
  • Distribution
  • Equiprobable
  • Events
  • Exhaustive
  • Favourable outcomes
  • Independent events
  • Inependent events
  • Maths
  • Mutually exclusive
  • Odds against
  • Odds in favour
  • Outcomes
  • Probability
  • Probable space
  • Random variable
  • Resultants
  • Sample space
  • Standard deviation
  • Sure event
  • Total probability theorem
  • Uncertainty
  • Variance
  • Void event

Who should take this course?

- High school and higher secondary (Class 11, 12) students.
- Students preparing for JEE.
- Any other entrance exam aspirants looking to gain a deeper understanding of the concepts  across the globe.

What will you learn in this course?

  • Introduction to probability
  • Events, outcomes and sample space
  • Conditional probability
  • Total probability theorem
  • Bayes theorem
  • Binomial probability theorem
  • Variance and standard deviation of a random variable

Earn sharable certificate

You'll earn a sharable certificate upon completion of this course.

  • Showcase it on your professional profiles
  • Share it on social media as a proof of your skills
  • Download as PDF and print it
View certificate

About the tutor

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Shashank Gupta
5.0
Premium
Maths Expert, 15+ Years, Chandigarh, India

Hello Learners! Meet tutorac academy's mathematics expert, Shashank Gupta. 13+years of experience in the field, and Shashank still loves a challenge in mathematics and its applications. He believes in inculcating the same spirit in his students and creating an exciting environment to learn. After... View more

Curriculum
  • 7 sections
  • 15 Topics
  • 03 H 33 Mins
  • Intro Video
    01:30
4 Topics / 01 H 01 Mins
  • Random Experiments, Outcome and Sample Space
    13:12
  • Events and Three Important Events
    16:53
  • Classical Definition of Probability
    19:58
  • Problems and Solutions
    10:57
4 Topics / 49 Mins 11 Secs
  • Dependent & Independent Events & Conditional P.P
    13:03
  • Addition Theory on Probability
    12:36
  • Multiplication Theory on Probability
    12:57
  • Problems and Solutions
    10:35
4 Topics / 01 H 00 Mins
  • Binomial Probability Theorem
    09:56
  • Total Probability Theorem
    15:12
  • Bayes' Theorem
    19:05
  • Problems and Solutions
    16:12
e learning platforms uum online learning online class free online courses digital marketing courses udemy
Course Highlights
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyCertificate of completion
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyIntegrated projects and quizzes
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyAdditional study materials
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyLearn anytime, anywhere
  • e learning platforms uum online learning online class free online courses digital marketing courses udemyCompletely self-paced