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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Probability: Basic Concepts and Discrete Random Variables course has been formulated by the experts to provide the details of mathematical probability about data science as a domain. The programme will further help students to carve out a career in the field of data science and as actuarial scientists.

The course contains- sample space, Bayes theorem, expected values, CDFs, conditional probability, and many more. The Probability: Basic Concepts and Discrete Random Variables online course discusses important models with respect o]to probability distribution models including- binomial distributions, Bernoulli theorem, negative binomial distribution, geometric distribution, possession distribution, and uniform distribution. The Probability: Basic Concepts and Discrete Random Variables training will introduce the enrolled applications with probability mass functions and joint distribution methods so that they can learn about mathematical probability in detail meet their expected career goals and gather more information in the area of science and computers.

This course is self-paced which means the students will be able to access the course content in their own preferred time. The candidates will only be getting a limited period to view and learn the course content in the audit mode whereas the verified track offers unlimited course access along with a certification of completion.

The Highlights

Self paced learning
6 weeks course
Certificate by edX
Free registration
4-6 hours classes every week
Course hosted by Purdue University
Instructor led course
Introductory level programme

Programme Offerings

online learning
Lectures
assignments
Transciprted videos
Projects

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 4074	yes	Purdue University, West Lafayette

The Probability: Basic Concepts and Discrete Random Variables fees is not required for registration.
It is essential for the participants to pay Rs.4,074 /- to secure and confirm their registration.

Probability: Basic Concepts and Discrete Random Variables fees

Particulars	Amount
Registration Fee	Free
Course Fee	Rs.4,074 /-

Eligibility Criteria

Education

To avail the seat in this course, it is mandatory that the students are well aware of- caluscus ( that includes the double integrals) and the concept of basic combinatorics. In the first chapter, a tutorial is given on combinatorics.

Certification Qualification Details

In order to receive the certificate, it is necessary that the students are paying the amount and then upgrading the Probability: Basic Concepts and Discrete Random Variables certification course.

What you will learn

Mathematical skill

In this course, the following knowledge will be gained by the participants-

He/she will be learning about outcomes and events and will use these concepts in solving probability questions.
The candidates will be taught “Bayes’ theorem” and using that they will solve conditional probability questions in the Probability: Basic Concepts and Discrete Random Variables certification course.
Students will further be learning about the random variables used in joint distribution problems.
The candidates will also deal with the concept of “expected values” to find the sum of random variables.
The participants will learn about negative binomial random variables and will be using it in solving problems.
He/she will also be working on geometric random variables to build a stronger base in probability.
Students will further have their skills enhanced ib basic rules and probability concepts in Probability: Basic Concepts and Discrete Random Variables programme.
The topic of “discrete variables” will be used by the students so that they know about the various probability models.
The working mechanisms of various probability functions will be discussed for giving students clearer in the Probability: Basic Concepts and Discrete Random Variables certification syllabus.
The concept of mass functions will be elaborated to help students to work with joint distributions.

Who it is for

The Probability: Basic Concepts and Discrete Random Variables certification benefits the following students-

Candidates who are eager to venture out in the field of probability and acquire a professional certificate should enrol for this course.
Students willing to study more about the domain of “statistics” will highly benefit

Application Details

To confirm the seat in the programme the given steps has to be followed-

Step 1: Procure the application form from here- https://www.edx.org/course/probability-basic-concepts-discrete-random-variabl

Step 2: Please mention the details of the name in the section titled “Full Name”.

Step 3: The generation of a private account will only take place after filling the “username”.

Step 4: TNow the student has to process further by providing the details of their address pertaining to the mail.

Step 5: The candidates have to agree to all the clauses and places that are provided by the institute before going any further.

Step 6: Now the candidates are requested to upgrade their course and click on the “apply now” button to submit.

The Syllabus

Demorgan's first and second Law
Outcomes and events
Practice and discussion
How many events
Probability rules
Sample spaces
Inclusion/exclusion
Probability of empty set
Equally likely outcomes
Union of finitely many events
Setminus and partition

Practice and discussion
Probabilities and indicators
Random variables; discrete versus continuous
Probability mass function
Quiz
Joint distributions
CDF
Independent random variables

Negative binomial random variables
Practice and discussion
Binomial
Bernoulli random variables
Geometric random variables

Expected values of sums of RVs
Examples
Expected values of discrete random variables
Practice and discussion
Variance
Expected values of functions of RVs

Hypergeometric random variables
Poisson random variables
Practice and discussion
Discrete uniform random variables; and counting

Quiz
Examples of independent events
Independent events
Conditional probability
Bayes' theorem
Distributive laws and conditional probability laws
Examples of conditional probability
Two examples
Practice and discussion
Probability of an intersection

Instructors

Purdue University, West Lafayette Frequently Asked Questions (FAQ's)

1: What is Probability: Basic Concepts and Discrete Random Variables course duration?

Over a course of ten long weeks, the course will be continuing uninterrupted and undisturbed.

2: Is there any discount coupon available?

No dear candidate, currently there are no discount coupons available. Please keep shaking for any notice.

3: Is the scholarship issued on merit?

No, the scholarship that will be provided in this Probability: Basic Concepts and Discrete Random Variables certification will be for students from poor financial backgrounds.

4: Is the session for trained professionals?

No, the Probability: Basic Concepts and Discrete Random Variables course are for students and professionals who are having prior knowledge in the domain of calculus.

5: What are the minimum passing marks in this course?

The candidates are requested to view the brochure of o pertains all the information regarding the passing marks.

6: In which site is the registration form provided?

The link is provided down- https://www.edx.org/course/probability-basic-concepts-discrete-random-variabl

7: How can I register for Probability: Basic Concepts and Discrete Random Variables course?

The registration process is very simple: the candidates are required to pay the allocated amount for getting registered in this course.

8: I can not access my account. Where can I contact?

It seems you are having trouble accessing your account. Please contact the help desk and your issue will be resolved.

9: Can I change my mailing address?

Yes, the students can change their mail id. They need to do the changes form the “setting” option provided in the Probability: Basic Concepts and Discrete Random Variables training.