Program

This is an indicative syllabus of the course! For the schedule applying to this semester, please visit course schedule web page 4iz565 or 4iz566.

#	Language	Topic	Note
1.	Introduction	Software
2.	Python	Intro to Python
3.	Python	Organizing code
4.	Python	Data structures
5.	Python	Data preprocessing
6.	Python	Sci-kit learn
7.	Python	Case study Python	Typically replaced by invited workshop
8.	R	Intro to R
9.	R	Exploratory Data Analysis in R
10.	R	Training Machine Learning Models in R
11.	R	Model Evaluation in R
12.	R	Case Study R	Typically replaced by invited workshop
13.	Spark	Scala, Spark

This outline indicates order of seminars. For schedule, refer to course information for the current semester.

Self study and E-learning

Multiple seminars use DataCamp e-learning, which you can access from home.