I’m starting to have a new journey with module DSA1101 – Introduction to Data Science.

The topics that this course will cover are:

1. Introduction to R programming
2. Introduction to basic probability and statistics
3. Supervised learning: k-nearest neighbors; Decision trees; Regression analysis; Naive Bayes; k-nearest neighbors
4. Diagnostics of classifiers
5. Model validation
6. Unsupervised learning: k-means clustering; Association rules

With the excellent help of Data Camp, I believe that students can have great experience in practicing R on those topics above.

Starting from Semester 1 of AY2021/2022, module ST2137 – Computer Aided Data Analysis has a new name, Statistical Computing and Programming.

Previously, students learned R, SAS and SPSS for the data analysis purpose in this module. However, from Semester 2 of AY 2020/2021, I started to remove SPSS and replace it by Python. This change can benefit students more, especially when data science is blooming where people in this field use Python much more commonly than SPSS.

With the excellent help of Data Camp, students can have great experience with both R and Python available there.

This module has been started since long ago in the department. The content of it is very basic. It introduces the key elements of statistics to the fresh students, such as probability, variables, sampling distribution of statistics (sample proportions and sample mean), the forming of confidence intervals, conducting t-tests and  building simple linear regression.

To my turn teaching this module (Semester 1 AY 2021/2022), we will introduce R in a deeper practice to students along with every concept taught in this course.  This is to equip students for a good practice ability when working with data.

Recommendation: Have more fun practicing R via a huge and excellent resource Data Camp

1. ST1232 – Statistics for Life Sciences
2. ST2132 – Mathematical Statistics
3. ST3131 – Regression Analysis
4. ST3241 – Categorical Data Analysis I
5. ST2137 – Computer Aided Data Analysis/Statistical Computing and Programming
6. ST1131 – Introduction to Statistics and Statistical Computing
7. DSA1101 – Introduction to Data Science

My contact: pham.kimcuc@nus.edu.sg

My office: S16-07-105

Department of Statistics and Data Science

National University of Singapore