Data Analytics: Advanced Statistics in R

Sat, Feb 05, 2022 / Feb 12, 2022 

S$ 950.00
05 Saturday

Data Analytics: Advanced Statistics in R

Sat, Feb 05, 2022 / Feb 12, 2022 


This course continues and develops on the material from the Fundamentals of Probability and Statistic in R. It covers statistical inference and regression models. This course is presented for students who have already learned the fundamentals and want to move to the more advanced courses. This course covers commonly used statistical inference methods for numerical and categorical data. Students will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of their analysis in a way that is interpretable for customers or the public. With the help of several examples using R, students will learn to report the uncertainty of the quantity of interest.


Inferential Statistics [4]

            Concept of sample and population

Concept of statistics and parameter

            Sample Distribution

Interval Estimation [4]

Confidence Intervals for Mean, Variance and Proportion

Hypothesis Testing [6]

            Type of Hypotheses and two types of errors

The p-value and the level of significance

            Inference for comparing Means, Variances and Proportions

            Chi-Square GOF Test and Chi-Square Independence Test


Regression Models [4]                     

Linear Regression & Multivariable Regression

Residuals & Diagnostics

Model Selection

Regularization [2]

            Ridge Regression

The Lasso

Course Schedule

Day/Date Time Topic
Sat   Feb 05, 2022 9:00 AM - 5:00 PM Day 1
Sat   Feb 12, 2022 9:00 AM - 5:00 PM Day 2

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