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Kickstart: 6-Week Transformation Programme


The Nutricare Clinic with our Registered Dietitian Nutritionist, MaryAnne Wanza, will be running a 6-week health transformation programme. It will be completely customised to each participating individual while offering regular accountability support from both our dietitian and other participants. Registration To register, click here Inquiries Kindly find the contact details below; Tel: 0741 272 213, 0703 034 001 Email: sunutritionist@strathmore.edu Visit: sumc.strathmore.edu

Statistical Data Analysis using R Programming


Statistical Data Management and Analysis using R course provides an insight into quantitative data management and analysis (exploring, summarizing, statistical analyzing, visualizing). R is an open source software with many features for quantitative data management and analysis. Why the Course? Participants with interest in programming languages that allow work to be explicit & documented, promoting experimentation and exploration, and recording work-flow from start to finish will find this course useful and applicable. Prerequisites This course is designed with quantitative researchers as well as beginners in mind. It assumes no prior knowledge of statistics or quantitative research background. Participants will be expected to come with their own laptops. Objectives The course will: Introduce participants to R as a quantitative data analysis tool Enable learner master R software and R-studio as a user interface Enable learner import data from various sources Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions Provide essential skills for data manipulation including selecting subsets and recoding Introduce the visual representation of variables in scatter graphs, bar charts, and histograms Examine the relationships between variables Course Outline Each session will include a lecture followed by practicals. Participants will also get a chance to see how data analysis is being applied in a real-life scenario. The following gives a brief summary of what the course will cover. Introduction to R: This entails installation of R and R-studio as well as relevant packages such as reshape2, readr, readxl, haven, dplyr, and ggplot2, etc Introduction to programming (basic syntax, Scripts – Documenting, commenting & sharing code) Loading and importing data into R: The learner will also be able to save data in R and perform data cleaning Data management and manipulation: The learner will study how to create and manipulate objects– Vectors, Matrices, Dates &...

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