Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Probability and Statistics II: Random Variables – Great Expectations to Bell Curves program is an online and self-paced course where the candidates can feel free to take the course at any time through devices with a good internet connection. The basic knowledge required for the random variables is also offered as Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification syllabus and materials to the students who join this course.
This is an intermediate-level course that teaches them the concepts of continuous and discrete random variables. The topics include variance, joint random variables, expected value, bivariate random variables, univariate random variables; functions of random variables, and moment-generating function are covered in this course.
The Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification consisting of the institution logo and the signature of the instructors from Georgia Tech is given to the candidates who complete the course. Learners who joined the course in the verified track will be given a shareable certificate which can be shared with platforms like LinkedIn and added to the resume to get more career opportunities. Those who choose to audit for free will be given only a limited duration of access.
The Highlights
- Course duration is 4 weeks
- Course offered by edX
- Verified certificate from Georgia Tech
- Self-paced course
- Online course
- Video transcripts in English
- Intermediate course
- Shareable certificate from GTx
- Only 6 to 12 hours per week efforts required
Programme Offerings
- Video transcripts
- assignments
- videos
- activities
- quizzes
- Discussion Forums
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 20759 | yes | Georgia Tech |
- The fees are not required to be paid for registration.
- The students need to deposit ₹20,759 as the Probability and Statistics II: Random Variables –Great Expectations to Bell Curves fees
Probability and Statistics II Random Variables-Great Expectations to Bell Curves Fees Structure
Fee Category | Amount |
certification fee | ₹20,759 |
Registration fee | Free |
Note: Discounts on the fess can be availed by the students who enroll in this course by applying the coupons if given on the website at the time of payment.
Eligibility Criteria
Work Experience
The Probability and Statistics II: Random Variables – Great Expectations to Bell Curves certification course expects the candidates to have had exposure to computer programming, R freeware statistics, and excel.
Education
The participants are expected to have some basic knowledge in calculus basics and set theory. To get the course materials for these topics, they can refer to the A Gentle Introduction to Probability course given earlier. They will also get access to the prerequisite materials as the program will be a self-contained program.
Certification Qualifying Details
The students who are all pursuing the verified track i.e. the paid course for the certification of the Probability and Statistics II: Random Variables – Great Expectations to Bell Curves online course given by edX will issue a verified certificate if they maintain a passing score of 59% or more. They should complete the given activities, tasks, and graded assignments on time.
What you will learn
The students taking the Probability and Statistics II: Random Variables – Great Expectations to Bell Curves by edX will gain knowledge in the below-given topics
- They will be able to recall the topics like correlation and independence in random variables.
- The usage of the random variable functions in the simulation applications of the computer will be familiar for them.
- Identification of continuous and discrete random variables will be so simple for the students who join this Probability and Statistics II: Random Variables –Great Expectations to Bell Curves course.
- The more detailed coverage of the univariate random variables and bivariate random variables helps the candidates to learn in-depth.
- Concepts like variance, expected value, moment generating values which are the properties of the random variables will be thorough by the candidates.
- Recognizing the marginal and conditional information and the joint random variables are easily done by the students during the course.
- There are many optional concepts such as random sums of random variables and standard conditioning arguments available which will surely help the students to learn more about the Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification course
- Many problems in various topics are given so as to make the candidates master the topics and concepts covered.
- The topics related to the upcoming Statistical courses are learned by the students from this course.
Who it is for
The following students are recommended to attend the Probability and Statistics II: Random Variables – Great Expectations to Bell Curves by edX-
- The candidates who desire to gain in-depth skills and learnings about probability and statistics.
Admission Details
The users can be admitted to the Probability and Statistics II: Random Variables – Great Expectations to Bell Curves program through the procedure given below-
Step 1: The users must visit the link- https://www.edx.org/course/probability-and-statistics-ii-random-variables-great-expectations-to-bell-curves by clicking on it.
Step 2: If they already have an account in edX, they can sign indirectly.
Step 3: If the candidates are newly enrolling, they must create an edX account through email-id or Facebook or Google account, and then they must sign in.
Step 4: The students should enroll in the course by searching for it in Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification.
Step 5: Immediately after enrolling, they are admitted to the free track of the course.
Step 6: They may change the Probability and Statistics II: Random Variables –Great Expectations to Bell Curves course to the verified track to get a certificate by completing the payment.
Step 7: The verification of payment is done and they will be admitted to the verified track.
Step 8: Upon successful completion of the course, they will be given a verified certificate from Georgia Tech offered by edX.
The Syllabus
- Lesson 1: Introduction (FCPS §2.1)
- Lesson 2: Discrete Random Variables (FCPS §2.2)
- Lesson 3: Continuous Random Variables (FCPS §2.3)
- Lesson 4: Cumulative Distribution Functions (FCPS §2.4)
- Lesson 5: Great Expectations (FCPS §2.5.1)
- Lesson 6: LOTUS, Moments, and Varience (FCPS §2.5.2)
- Lesson 7 [OPTIONAL]: Approximations to E[h(X)] and Var(h(X)) (FCPS §2.5.3)
- Lesson 8: Moment Generating Functions (FCPS §2.6)
- Lesson 9: Some Probability Inequalities (FCPS §2.7)
- Lesson 10: Functions of a Random Variable (FCPS §2.8.1)
- Lesson 11: Inverse Transform Theorem (FCPS §2.8.2)
- Lesson 12 [OPTIONAL]: Honors Bonus Results (FCPS §2.8.3)
- Lesson 1: Introduction (FCPS §§3.1.1−3.1.3)
- Lesson 2: Marginal Distributions (FCPS §3.1.4)
- Lesson 3: Conditional Distributions (FCPS §3.2)
- Lesson 4: Independent Random Variables (FCPS §3.3.1)
- Lesson 5: Consequences of Independence (FCPS §3.3.2)
- Lesson 6: Random Samples (FCPS §3.3.3)
- Lesson 7: Conditional Expectation (FCPS §3.4.1)
- Lesson 8: Double Expectation (FCPS §3.4.2)
- Lesson 9 [OPTIONAL]: First-Step Analysis (FCPS §3.4.3)
- Lesson 10 [OPTIONAL]: Random Sums of Random Variables (FCPS §3.4.3)
- Lesson 11 [OPTIONAL]: Standard Conditioning Argument (FCPS §3.4.3)
- Lesson 12: Covariance and Correlation (FCPS §3.5.1)
- Lesson 13: Correlation and Causation (FCPS §3.5.2)
- Lesson 14: A Couple of Worked Correlation Examples (FCPS §3.5.3)
- Lesson 15: Some Useful Covariance / Correlation Theorems (FCPS §3.5.4)
- Lesson 16: Moment Generating Functions, Revisited (FCPS §3.6)
- Lesson 17 [OPTIONAL]: Honors Bivariate Functions of Random Variables (FCPS §3.7)
Evaluation process
No specific exams are given for the candidates to clear to join this course. The Probability and Statistics II: Random Variables – Great Expectations to Bell Curves online course is flexible for all the students to get benefited from learning this.