This course is designed for participants who plan to use R for the management, coding, analysis and visualization of qualitative data. The course’s content is spread over seven modules and includes: Basics of Applied Statistical Modelling, Essentials of the R Programming, Statistical Tools, Probability Distributions, Statistical Inference, Relationship between Two Different Quantitative Variables and Multivariate Analysis . The course is entirely hands-on and uses sample data to learn R basics and advanced features.
WHO SHOULD ATTEND
Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,
MODULE ONE: Basics of Applied Statistical Modelling
MODULE TWO: Essentials of the R Programming
MODULE THREE: Statistical Tools
MODULE FOUR: Probability Distributions
MODULE FIVE: Statistical Inference
MODULE SIX: Relationship between Two Different Quantitative Variables
MODULE SEVEN: Multivariate Analysis
ü This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
ü Training manuals and additional reference materials are provided to the participants.
ü Upon successful completion of this course, participants will be issued with a certificate.
ü We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: email@example.com
ü The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, Nairobi Kenya.
ü The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
ü Payment should be sent to our bank account before start of training and proof of payment sent to: firstname.lastname@example.org
|2.||5 - 10||1000.00||2000.00|
|3.||11 - 20||800.00||1,600.00|
|4.||21 - 30||700.00||1,400.00|
|5.||32 - 40||650.00||1,300.00|
|6.||41 - 50||600.00||1,200.00|
|7.||51 > Above||500.00||1000.00|