EVENT INFORMATION
Course Name: Statistical Data management, Analysis and interpretation using R
Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 6th to 10th Jan, 2020
Course Fee: KES 75,000 OR USD 1,100
Online Registration: Register here
Tech For Development -T4D would like to invite you to a high impact Training Course in Statistical Data management, Analysis and interpretation using R to be held in Nairobi, Kenya from 6th to 10th Jan, 2020
Introduction
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.
This course covers the manipulation of objects in R including reading data, accessing R packages, writing R functions, and making informative graphs. It includes analyzing data using common statistical models. The course teaches how to use the R software both on a command line and in a graphical user interface (GUI).
Requirements
Participants should be reasonably proficient in English.
Duration
5 days
Course Outline
Introduction and preliminaries
• Making R more friendly, R and available GUIs
• The R environment
• Related software and documentation
• R and statistics
• Using R interactively
• An introductory session
• Getting help with functions and features
• R commands, case sensitivity, etc.
• Recall and correction of previous commands
• Executing commands from or diverting output to a file
• Data permanency and removing objects
Simple manipulations; numbers and vectors
• Vectors and assignment
• Vector arithmetic
• Generating regular sequences
• Logical vectors
• Missing values
• Character vectors
• Index vectors; selecting and modifying subsets of a data set
• Other types of objects
Objects, their modes and attributes
• Intrinsic attributes: mode and length
• Changing the length of an object
• Getting and setting attributes
• The class of an object
Ordered and unordered factors
• A specific example
• The function tapply() and ragged arrays
• Ordered factors
Arrays and matrices
• Arrays
• Array indexing. Subsections of an array
• Index matrices
• The array() function
o Mixed vector and array arithmetic. The recycling rule
• The outer product of two arrays
• Generalized transpose of an array
• Matrix facilities
o Matrix multiplication
o Linear equations and inversion
o Eigenvalues and eigenvectors
o Singular value decomposition and determinants
o Least squares fitting and the QR decomposition
• Forming partitioned matrices, cbind() and rbind()
• The concatenation function, (), with arrays
• Frequency tables from factors
Lists and data frames
• Lists
• Constructing and modifying lists
o Concatenating lists
• Data frames
o Making data frames
o attach() and detach()
o Working with data frames
o Attaching arbitrary lists
o Managing the search path
Reading data from files
• The read.table()function
• The scan() function
METHODOLOGY
This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Visit our website for more details.
TAILOR-MADE TRAINING
This training course can also be tailored for your organization. This way, your organization will benefit by:
• Using own datasets and tools during the training.
• Being able to choose areas of interest you wish the trainer to put more emphasis on.
• Taking the course in-house or at a venue of choice.
• Cutting on the cost of transport and accommodation.
TESTIMONIALS
Kindly visit this link to see video and photo testimonials of our previous training events.
FAQS
Need more information? Kindly visit this link to see answers to frequently asked questions.
HOW TO PARTICIPATE
Register as individual
Contact information
Email: outreach@t4d.co.ke
Tel: +254 706909947
Website: www.t4d.co.ke

Kind regards.
Rose Ireri,
Customer Relationship Officer,
Tech For Development
Innovation for impact