Students
Tuition Fee
ZAR 4,500
Start Date
Not Available
Medium of studying
Fully Online
Duration
2 days
Details
Program Details
Degree
Courses
Major
Computer Science | Data Analysis | Geographic Information Systems (Gis)
Area of study
Information and Communication Technologies | Natural Science
Education type
Fully Online
Course Language
English
Tuition Fee
Average International Tuition Fee
ZAR 4,500
About Program

Program Overview


University Program Information

The University of Cape Town offers a variety of programs, including data analysis and data curation training.


Data Analysis Training

The data analysis training program includes courses such as:


  • Introduction to Stata
  • Econometrics
  • Complex Social Survey Data
  • Understanding Panel Survey Data
  • Measuring Consumption
  • Measuring Economic Welfare
  • Understanding the South African Labour Market
  • Dealing with Missing Values
  • Introduction to R
  • Analysing Spatial Data using R

Analysing Spatial Data using R

This is a two-day course that covers the manipulation of spatial data (vector, raster) using R. The course content includes:


  • Loading and operations on spatial vector data (points, lines, polygons)
    • Loading spatial vector data into R
    • Map plotting
    • Define spatial projection
    • Sub-setting polygons
  • Loading and operations on raster (grid) data
    • Loading a raster layer
    • Basic exploration of raster data
    • Define and changing raster projection
    • Plotting raster data
    • Crop and mask raster data
    • Extract values from raster data
    • Multiple layers of raster layers - raster stack, raster brick
  • Application using the DMSP-OLS night-time lights series

Course Details

  • Prerequisites: Course participants should be familiar with R and with basic statistical tools.
  • Dates: To be confirmed
  • Mode of Delivery: This course will be offered online.
  • Course Fees: The cost of the course is R 4,500.00.
  • Closing Date: Not specified

Program Reservation

DataFirst reserves the right to postpone or cancel this course due to lack of demand.


See More