Introduction to Data Analytics
0.5 Credit

Hours per week:
  • Lecture/Discussion: 3
  • Lab: 1.5

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 tools such as Excel, Google spreadsheets, Python and the R package.

Additional Course Information