Data Analysis Training Using R

All 3 days only R8,000.00 (Excl. VAT) per delegate

About This Course

R is arguably the best software for data management and statistical analysis. It is a fast, powerful statistical package designed for researchers of all disciplines. R is a complete, integrated statistical package that provides everything for data analysis from data management to basic and advanced analysis. R makes it easy to conduct data cleaning and management, distinctly styled graphs, descriptive analysis and advanced analysis.

We provide below some reasons R is increasingly being used by many research and private organisations:

  • It is a fast, powerful statistical package designed for researchers of all disciplines
  • R provides everything for data analysis from data cleaning, data management to basic and advanced statistical analysis
  • Basic descriptive analysis and stratified analysis are incredibly easy and fast in R
  • R makes it easier for analysts to standardise their data analysis and management
  • One of the main advantages of R is its versatility in analysing different types of data across different fields from health to social and economic data. As a result, many universities and consultancies use R

Course Content

In this course you will learn how to program in R and how to use R for effective data analysis. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

They will learn to use R for data cleaning, management and statistical analysis including importing other types of data files, like Excel, into R. They will achieve the understanding of descriptive statistics, confidence intervals, p-values and bi-variate inferential statistics (hypothesis testing). The theory behind the statistics will be explained and participants will be able to interpret statistical outputs. They will also improve their skills to critically analyse research reports. The three-day training will teach participants the following:

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Day 1 - Learn to Use R

  • Types of research questions
  • Understanding the structure of datasets: variables to datasets
  • Introduction to R, explore the capabilities of R
  • Importing data from Microsoft Excel to R
  • Accessing R packages, writing R functions
  • Debugging, profiling R code, and organizing and commenting R code
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Day 2 - Data Analysis: Descriptive statistics and Subgroup analysis

  • Introduction to descriptive statistics
  • Making sense of data: more descriptive statistics
  • Data transformation
  • Subgroup analysis
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Day 3 - Hypothesis testing and inferential statistics

  • Bi-variate analysis
  • Cross-tabulation and chi-square test
  • Different types of statistical tests
  • Measures of effect
  • Is the association confounded: understanding confounding?

Course outcomes

The course will teach participants the following:

CESAR statistical computing courses well-paced providing room for sharing rich and relevant skills and experiences by the course facilitators and participants. Participants are encouraged to ask and answer questions throughout the course. After the training, participants will be able to take raw data collected in their settings, clean them, summarise them, analyse them and take appropriate action. They will achieve the understanding of descriptive statistics and bi-variate inferential statistics. They will also be able to use R in their practical professional work to produce neat and reproducible analysis outputs. In addition, they will improve their ability able to critically review research reports and papers.

Who Should Attend?

  • Researchers
  • Biostatisticians
  • Research analysts
  • Data analysts
  • Economists
  • HODs
  • Clinicians
  • Epidemiologist
  • Programme managers
  • Postgraduate students
  • Market researchers
  • Clinical and medical researchers
  • Scientists
  • Government practitioners

Registration

For more details about our services contact:

Rose More
Email: [email protected]
Tel: +27 11 403 1411

Price Includes

  • Course attendance
  • Full refreshments: lunch
  • Welcome tea
  • Two breaks for tea including pastries
  • Course lecture notes and training manual
  • Complimentary parking
  • Certificate of attendance

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+27 11 403 1411
+27 67 937 0310

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Harrow Court 2, 1st Floor, Isle of Houghton, 36 Boundary Rd, Houghton Estate, 2041, South Africa.