DATA 100
Intro to Data Analytics
Lec A and Lab L1 selected
This course provides a broad overview of modern methods and tools for big data analytics. Different stages of data analytics lifecycle, including diagnosing, cleaning, preparing, transforming, visualizing and modelling data, are considered. Numerical and graphical methods of descriptive statistics are introduced. Data analytic methods are demonstrated using the statistical computing software R.
Sections
Lecture, pick one
Lec A
Tue, Thu 14:30-15:50
Lec B
Tue, Thu 16:00-17:20
Lab, pick one
Lab L1
Mon 14:30-15:50
Lab L2
Mon 16:00-17:20
Lab L3
Mon 14:30-15:50
Lab L4
Mon 16:00-17:20
Lab L5
Mon 14:30-15:50
Lab L6
Mon 16:00-17:20
Syllabus
Have the syllabus for DATA 100? Share it and everyone gets the grading, textbooks and rules.