Training Course in Statistical Data management, Analysis and interpretation using R
***Virtual & E-learning now available***
We all have a part to play in preventing the spread of COVID-19. We continue to monitor the Center for Disease Control (CDC) and the World Health Organization (WHO) website for information on Coronavirus updates, symptoms and prevention measures.
For your health and safety, we are offering our courses virtually and via our e-learning portal. Make inquiries here: [email protected]
***Virtual & E-learning now available***
Event Name: Training Course in Statistical Data management, Analysis and interpretation using R
Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 27th April to 1st May 2020
Course Fee: KES 69,000 OR USD 920.00
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 27th April to 1st May 2020.
Why train with us?
- Our focus is on helping your organization achieve workplace performance improvements.
- Our rigorous pre-training evaluation ensures a robust training model that aligns training with the culture, strategic direction, and internal resources of your organization.
- Our extensive experience, expertise and client base - We have conducted training to over 10,000 attendees from 20 countries around the world.
- We boast of staff and associate trainers/facilitators with a combined 400+ years of experience training and facilitating in fields of technology, research, software development, ICT4D, GIS, M&E and soft skills.
- We are not independent contractors; all our people work as part of your Project Team.
- Attendees benefit from our post training support and mentorship provided to each attendee for 12 months after completion of any training course.
- Small class sizes - No more than 15 people to ensure you get the most from our trainers.
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).
Duration
5 days
Requirements
Participants should be reasonably proficient in English.
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
Mixed vector and array arithmetic. The recycling rule
- The outer product of two arrays
- Generalized transpose of an array
- Matrix facilities
Matrix multiplication
Linear equations and inversion
Eigenvalues and eigenvectors
Singular value decomposition and determinants
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
Concatenating lists
- Data frames
Making data frames
attach() and detach()
Working with data frames
Attaching arbitrary lists
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.
Accreditation
Upon successful completion of this training, participants will be issued with a certificate of participation.
Training venue
The training is residential and will be held at the T4D Training Centre in Westlands, Nairobi-Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their travel expenses, visa application, insurance, and other personal expenses.
Training fee
The course fee is KES 69,000.00 or USD 920.00 exclusive of VAT. The course fee covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Tailor-made training
We can also tailor-make our courses for you. This way, you/your organization will benefit by:
- Using own 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
For further inquiries, please contact us on details below:
Email: [email protected]
Mobile: +254706909947
Accommodation
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected]
Mobile Number: +254 706909947
Payment
Payment should be transferred to Tech For Development - T4D account through bank on or before the course starting date.
Send proof of payment to [email protected]
Testimonials
Kindly visit this link to see video and photo testimonials of our previous training events.
FAQS
Need more information? Visit this link to see answers to frequently asked questions.
Cancellation policy
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
1. Participants may cancel attendance 14 days or more prior to the training commencement date.
2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.
Contact information
Tel: +254 706909947
Email: [email protected]
Website: www.t4d.co.ke
Kind regards.
Lennox I. Mucheni
Customer Relationship Officer,
Tech For Development.
Innovation for Impact