This course is an introduction to the R Statistical language, a free open source environment for statistical computing and graphics. You will learn to perform basic data manipulation and descriptive analysis including graphics display.
DurationThis course is an introduction to the R Statistical language, a free open source environment for statistical computing and graphics. You will learn to perform basic data manipulation and descriptive analysis including graphics display.
The course is intended for those who want to use R in their day-to-day work for importing external data, manipulating data, performing statistical data analysis and visualisations. No prior experience with R is required but experience handling data and basic knowledge of statistics may be advantageous.
Course Content:
Familiarize with the RStudio interface,
Basic R operations and functions,
Summary statistics and data aggregation,
Loading packages and importing external data,
Introduction to data manipulation with packages - data.table and dplyr,
Introduction to data visualization – base R and ggplot2,
Simple linear regression functions.
DataFirst is a Research Unit and Data Service based at the University of Cape Town, South Africa. We give researchers online access to survey and administrative microdata (data at unit record level) from South Africa and other African countries. We assist researchers to use the data via our online helpdesk and offer formal training courses in microdata analysis.
DataFirst also trains African data managers in microdata curation. We conduct research on the quality and usability of South African microdata, and we work with African microdata producers to improve the quality of their data products. We aim for a data rich research-policy interface in South Africa, where data reuse by policy analysts in academia serves to refine inputs to government planning.
This training course is designed to help participants strengthen their skills using R for effective data modelling and analysis. The course will briefly introduce basic methods for data import, data management, simple graphics, and basic statistical analysis; and provides a firm foundation for stat...
R is a programming language and free software environment for statistical computing and graphics. It is the language for data science, built for data analysts. R provides a wide variety of statistical
With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40%, and an increasing number of organizations are using it in their day-to-day activities.
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