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Quick Facts

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

Course Overview

The Probability and Statistics III: A General Introduction to Statistics programme provides an amazing learning opportunity for all candidates who want to pursue careers in the field of statistics. The duration of the statistics and probability training programme is 4 weeks. Participants should spend 6-10 hours each week completing this certificate training programme. 

The Probability and Statistics III: A General Introduction to Statistics online course is in association with the institution of Georgia Tech. Learners will be able to learn about the concepts of Statistics and Data Analytics by studying in this course curriculum. Certification for this curriculum is available through the platform of Edx. Verified certification contains the achievement of the students, the name of the participants and the logo of the university. Students can avail of the certification for this training programme in probability and statistics by paying the course certification fee. Students can manage their schedules as this Probability and Statistics III: A General Introduction to Statistics certification syllabus is a self-paced learning programme. Probability and statistics training course is an intermediate learning course. After the course, the learners will get a certificate of completion if they take it in the verified track by paying the fee. In the audit mode, the students can have a limited period of access to the programme. 

The Highlights

  • Easily shareable certificate
  • Certified program
  • Certification available after paying the fees
  • Duration of the course is 4 weeks
  • 6-10 hours time investment required per week
  • In association with Georgia Tech
  • Intermediate level program
  • Self paced course
  • 100 percent online course

Programme Offerings

  • Modules
  • discussions
  • Course materials
  • Course notes

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
USD 249yesGeorgia Tech

Probability and Statistics III: A General Introduction to Statistics fees :

Heads

Amount

Audit

Nil

Certification fee

$ 249


Eligibility Criteria

Work experience

Experience in excel and R freeware statistical package required for pursuing the program.

Education

The candidates are expected to have knowledge about data analysis, statistics, calculus, general introduction to probability and random variables while applying for this course. Basic concept clearance about computer programming skills, R freeware statistical package, and excel is also expected from the candidates.

Certification Qualifying Details

Students have to complete the Probability and Statistics III: A General Introduction to Statistics certification course in online mode as the course is a digital learning program. Candidates should complete the modules and have to appear in exams for certification. Aspirants should pay the program certification fee.

What you will learn

Statistical skills

After completing the Probability and Statistics III: A General Introduction to Statistics program participants will learn about-

  • Candidates will be able to identify statistical sampling distributions by learning in this program.
  • Students may describe the methods that can be used to estimate the unknown parameters of distribution in the Probability and Statistics III: A General Introduction to Statistics certification.
  • Learners can recognize elementary methods of descriptive statistics through this course.
  • Through this curriculum of Probability and Statistics III: A Gentle Introduction to Statistics by edX candidates can study the central limit theorem and normal distribution.
  • The enrolled participants can understand how one may use the topics learned practically in their practice.
  • Aspirants will be able to review a library of continuous probability distributions and discretion.
  • The certification program in statistics will help the candidates to learn about the topics of unbiased estimation.
  • Aspirants may understand the concepts of mean squared error 
  • Candidates will be able to understand sampling distribution.
  • Training Probability and Statistics III: A General Introduction to Statistics course in probability and statistics can help the students to learn about the invariance property of MLEs.

Who it is for

The program of Probability and Statistics III: A General Introduction to Statistics program is highly beneficial for-

  • Working professionals
  • Students who want to get admission in universities, colleges, and institutions.

Admission Details

Participants who want to get admission in the program Probability and Statistics III: A General Introduction to Statistics program should follow the below-given instructions-

Step 1: Candidates should click the link given below https://www.edx.org/learn/statistics/the-georgia-institute-of-technology-probability-and-statistics-iii-a-gentle-introduction-to-statistics

Step 2: Students will reach the official website of edX where all the details of this course can be accessed

Step 3: Now the participants should click the option of ‘enrol’ situated at the top of the page.

Step 4: Candidates are now enrolled in the audit Probability and Statistics III: A General Introduction to Statistics course

Step 5: In case the aspirants want to achieve the certification for this program they should visit the dashboard and must click on the option of ‘upgrade to verified’.

Step 6: After paying the fees candidates will be able to gain verified. 

The Syllabus

  • Lesson 1: Bernoulli and Binomial Distributions (FCPS §4.1.1)
  • Lesson 2: Hypergeometric Distribution (FCPS §4.1.2)
  • Lesson 3: Geometric and Negative Binomial Distributions (FCPS §4.1.3)
  • Lesson 4: Poisson Distribution (FCPS §4.1.4)
  • Lesson 5: Uniform, Exponential, and Friends (FCPS §4.2.1–4.2.2)
  • Lesson 6: Other Continuous Distributions (FCPS §4.2.3)
  • Lesson 7: Normal Distribution: Basics (FCPS §4.3.1)
  • Lesson 8: Standard Normal Distribution (FCPS §4.3.2)
  • Lesson 9: Sample Mean of Normals (FCPS §4.3.3)
  • Lesson 10: The Central Limit Theorem + OPTIONAL Proof (FCPS §4.3.4)
  • Lesson 11: Central Limit Theorem Examples (FCPS §4.3.5)
  • Lesson 12 [OPTIONAL]: Extensions – Multivariate Normal Distribution (FCPS §4.4.1)
  • Lesson 13 [OPTIONAL]: Extensions – Lognormal Distribution (FCPS §4.4.2)
  • Lesson 14: Computer Stuff, including OPTIONAL Box-Muller Proof (FCPS §4.5)

  • Lesson 1: Introduction to Descriptive Statistics (FCPS §5.1.1)
  • Lesson 2: Summarizing Data (FCPS §5.1.2)
  • Lesson 3: Candidate Distributions (FCPS §5.1.3)
  • Lesson 4: Introduction to Estimation (FCPS §5.2.1)
  • Lesson 5: Unbiased Estimation (FCPS §5.2.2)
  • Lesson 6: Mean Squared Error (FCPS §5.2.3)
  • Lesson 7: Maximum Likelihood Estimation (FCPS §5.2.4)
  • Lesson 8: Trickier MLE Examples (FCPS §5.2.4)
  • Lesson 9: Invariance Property of MLEs (FCPS §5.2.4)
  • Lesson 10: Method of Moments Estimation (FCPS §5.2.5)
  • Lesson 11: Sampling Distributions (FCPS §5.3)

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