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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

The Introduction to Probability training to bring logic to a world replete with randomness and uncertainty. This route will come up with the gear needed to apprehend information, technology, philosophy, engineering, economics, and finance. you may research now not simply how to remedy challenging technical troubles, but also how you could follow one's solutions in ordinary existence.

This path has seven gadgets of content, after Unit Zero's short introduction and orientation. For each of these seven units, the structure is as follows. The Introduction to Probability online course has covered opportunities so that you will get help from your friends and the course group or speak the material within the discussion boards.

With examples ranging from medical trying out to sports prediction, you will have a robust basis for having a look at statistical inference, stochastic approaches, randomized algorithms, and different topics wherein opportunity is needed to complete the Introduction to Probability certification syllabus. The course offers a self-paced mode of study and 2 tracks which may be chosen by the candidates to complete the course. In the audit track, the candidates will get a limited chance to finish the course without having to spend anything. In case the candidates need unlimited access to the course materials, they must settle for the verified track by paying some money for the certificate.

The Highlights

  • 10 weeks of program length 
  • Up to 90% financial aid 
  • Checked certification by edX
  • Course offered by Harvard University
  • Shareable certification 
  • Online program 
  • Self-guided course with limited audit access
  • Review track at liberated from cost 
  • Needs exertion of simply 5 to 10 hours out of every week

Programme Offerings

  • Self-paced learning
  • Graded tasks
  • Discussion gatherings
  • Projects
  • Video records

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 9865yesHarvard University, Cambridge
  • The  Introduction to Probability fees is Rs.9,865.

Introduction to Probability fees

                             Fee details

                          Amount in Rs.

                         Certification fee

                          9,865 


Eligibility Criteria

Education 

There aren’t any educational requirements but students must be familiar with high school mathematical concepts such as matrices, calculus, algebra, integrals, and determinants in order to pursue the course. 

Certification Qualifying Details 

After completing the program, understudies will get the position and affirmed attestation from edX resulting in getting a 60% assessment or above in the audited undertakings.

What you will learn

Mathematical skill

The Introduction to Probability certification syllabus will enable candidates to learn the following:

  • Several instructions to consider vulnerability and haphazardness with Introduction to Probability online course. 
  • Understanding the most effective method to make great expectations 
  • How to understand and analyze different random variables such as discrete and continuous random variables under the  Introduction to Probability program.
  • Regular likelihood disseminations utilized in insights and information science. 
  • Strategies for finding the normal estimation of an arbitrary amount 
  • Instructions to utilize restrictive likelihood to move toward muddled issues.
  • Overview of Markov chain simulation and its properties.
  • Various key theories of conditionals expectations and joint distribution such as sequence patterns, bivariate normal, and bayesian 
  • Different key concepts such as central limit theorem, bus stop paradox, averages, and the law of large numbers.
  • Different probability distributions that are utilized in Statistics and Data Analysis in Introduction to a Probability certification course

Who it is for

The course is ideal for those individuals such as -

  • Mathematics Professors who want to hone up their skills and knowledge in Probability and Statistics can enroll for the Introduction to Probability certification.
  • Amateurs who want to learn this essential language and several concepts of it can opt for the  Introduction to Probability.

Admission Details

The admission framework for the Introduction to Probability program is given beneath - 

Stage 1: Go through the course page watchfully and click on the 'Select' decision on the edX page by opening the URL that is given under. 

https://www.edx.org/course/introduction-to-probability

Stage 2: Students should sign in to their edX record or sign up If they don't have an edX account. 

Stage 3: Select your maintained course track among Free and Verified. 

Stage 4: Students who evaluate the free track can move to the course immediately. 

Stage 5: But, understudies who select the verified track should fill in their abilities. 

Stage 6: Select your maintained bundle structure. 

Stage 7: Now, wisely fill in your portion nuances. 

Stage 8: Students can get to the verified  Introduction to Probability training material after the exchange is done. 

The Syllabus

  • Introduction to the course
  • Introduce yourself
  • Help and discussion forum

  • Introduction 
  • Reading
  • Interactive: birthday problem
  • Practice problems
  • Content and practice problem help & discussion forum
  • Homework problems 
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactive: Monty hall simulation
  • Practice problems 
  • Content and practice problem help & discussion forum
  • Homework problems
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactive: normalization
  • Practice problems 
  • Content and practice problem help & discussion forum
  • Homework problems 
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactive: PDF/CDF
  • Practice problems
  • Content and practice problem help & discussion forum 
  • Homework problems 
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactives: bus stop paradox and central limit theorem
  • Practice problems
  • Content and practice problem help & discussion forum
  • Homework problems
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactives: bivariate normal, patterns in sequences, Bayesian updating
  • Practice problems
  • Content and practice problem help & discussion forum
  • Homework problems
  • Homework discussion only forum

  • Introduction
  • Reading
  • Interactive: Markov chain simulation
  • Practice problems
  • Content and practice problem help & discussion forum
  • Homework problems
  • Homework discussion only forum 
  • Post-course survey

Instructors

Harvard University, Cambridge Frequently Asked Questions (FAQ's)

1: What is the time duration of the class conducted for the Introduction to Probability certification course?

The program is a pre-recorded session and is uploaded on the dashboard of edX. Candidates can access the program module once they have enrolled for it. 

2: In case, I am unable to finance this program, can I seek monetary help?

You are free to apply for monetary help before the cutoff time to move up to a confirmed endorsement. This cutoff time differs by course. You can see the redesign cutoff time in your seminar on the correct side of the Home tab. It would be ideal if you make certain to apply a few days ahead of time, as an audit ordinarily takes 2-4 business days. 

3: How would I realize that my application for monetary help has been acknowledged?

After edX surveys your application, edX will send you an email to inform you as to whether your application has been acknowledged. Audit commonly takes 2-4 business days. 

4: Would I be able to acquire the certification after the completion of Introduction to Probability certification?

To acquire a testament you should move up to the verified track by the course update cutoff time, and arrive at a passing score before the course end date. 

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