Course Information

0.1 Overview

R is a programming language is widely used by statisticians, data analysts and major corporations like Google, Uber… This is an introductory course on R for beginners and covers basics topics.

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0.2 Course Goals

  1. Teach students the basics concepts & building blocks of programming in R
  2. Help students to understand courses other statisticians offered
  3. Help students to feel empowered to learn more and advance careers

0.3 Course developer and instructor

Dong Wang, statistician in D&E team.
Email: my work mail, Phone: my work phone
Dong worked as a quantitative modeler, researcher and data scientist in academic as well as consulting companies here and overseas before joining Dept. as a statistician in 2017.

0.4 Intended Audience & scope

  1. Absolutely for beginners but anyone with a variety of backgrounds and experience of R are expected
  2. Not a course for statistical analysis
  3. Not a course that reflects the advanced tech

0.5 What should I know before this course

No prerequisites

0.6 Syllabus

0.7 Delivery mechanisms

  1. This is NOT a crash course packed and delivered in hours or days

  2. This is a self-paced online course, no constrains in place or time

  3. This is a course currently under development

  4. The students will get email notifications, when online materials in the form of texts, & possibly videos, audios, are updated

  5. The course is split into 10~15 modules, each possibly including challenges/homeworks

  6. Each module is aimed to be delivered fortnightly and results of quiz/challenges is reviewed at the end of the following week

  7. You are encouraged to contact me by Email first (due to the large group of students), unless there is a burning issue 😏

  8. 15~30mins Q&A MS Team meeting session maybe scheduled for some module, if there are queries in commom

  9. Any requests which is out of scope of this course may go into Assyst

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