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All of us will encounter statistical problems in our lives since it is the science of collecting, analyzing, and making deductions from the data available. Learning the basics of statistics will enhance our analytical skills to help us decide objectively.

This [course_title] will focus on the theoretical foundations of statistical methods which are useful for real-life applications. This will make you appreciate the role of statistics in our lives.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT

Course Curriculum

Module: 01
Introduction to Statistics 01:18:00
Introduction to Statistics (cont.) 01:17:00
Parametric Inference 01:23:00
Parametric Inference (cont.) and Maximum Likelihood Estimation 01:18:00
Maximum Likelihood Estimation (cont.) 01:17:00
Module: 02
Maximum Likelihood Estimation (cont.) and the Method of Moments 01:19:00
Parametric Hypothesis Testing 01:19:00
Parametric Hypothesis Testing (cont.) 01:19:00
Parametric Hypothesis Testing (cont.) ii 01:22:00
Module: 03
Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit 01:23:00
Testing Goodness of Fit (cont.) 01:21:00
Regression 01:16:00
Regression (cont.) 01:14:00
Regression (cont.) II 01:16:00
Module: 04
Bayesian Statistics 01:20:00
Bayesian Statistics (cont.) 01:03:00
Principal Component Analysis 01:17:00
Principal Component Analysis (cont.) 01:17:00
Module: 05
Generalized Linear Models 01:15:00
Generalized Linear Models (cont.) 01:18:00
Generalized Linear Models (cont.) ii 01:19:00
Generalized Linear Models (cont.) iii 00:55:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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