ABOUT THE COURSE 

R is an open-source programming language that provides a wide variety of statistical and graphical techniques.  R has “become the de-facto standard for writing statistical software among statisticians. This course will give you a solid foundation in creating statistical analysis solutions using the R language, and how to carry out a range of commonly used analytical processes.

TARGET PARTICIPANTS

This course is intended for Data Scientists, Data Analysts, Business Intelligence Analysts and any other professional who want to explore the vast range of analytical and graphical capabilities of R.

COURSE DURATION

• Online 7 Days
• Classroom-based 5 Days

WHAT YOU WILL LEARN 

By the end of this training the participants will be able to learn: 

• An introduction to R, basic data types, and R/RStudio installation
• Overview of base R concepts and specific data wrangling packages in R
• Connecting to databases, executing database queries in R
• How to use R for graphical summary
• R programming
• How to carry out a range of analyses using R

COURSE OUTLINE

Introduction to Statistical Analysis 

• Explain the basic steps of the research process
• Explain differences between populations and samples
• Explain differences between experimental and non-experimental research designs
• Explain differences between independent and dependent variables

Introduction to R software for statistical computing 

• Overview of the R Studio IDE
• Installing, loading and updating R packages
• Creating objects in R
• Data types
• Data structures
• Sorting vectors and data frames
• Directory management commands
• Direct data entry in R (for small data sets)
• Importing data from other software
• Decision structures (if, if-else, if-else if-else)
• Repetitive structures (for and while loops)
• Other important programming functions (break, next, warn, stop)

Data Wrangling and Cleaning in R 

• Working with variables
• Transform continuous variables to categorical variables
• Add new variables to data frames
• Handling missing values
• Sub-setting data frames
• Appending and merging data frames
• Spit data frames
• Stack and unstack data frames

Explanatory Data Analysis (EDA) in R 

• Creating tables of frequencies and proportions
• Cross tabulations of categorical variables
• Descriptive statistics for continuous variables

Data Visualization using R base package

• Introduction to graphs and charts in R
• Customizing graph attributes (titles, axes, text, legends)
• Graphs for categorical variables
• Graphs for continuous variables
• Graphs to investigate relationship between variables

Mean Comparison Tests in R 

• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-way analysis of variance (ANOVA)

Tests of Associations in R

• Chi-Square test of independence
• Pearson’s Correlation
• Spearman’s Rank-Order Correlation

Predictive Regression Models using R 

• Linear Regression
• Multiple Linear Regression
• Binary Logistic Regression
• Ordinal Logistic Regression

METHODOLOGY

The instructor led trainings are 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 Intensive Training Institute (ITI) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at ITI Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email: info@intensivetraining.co.ke

Mob: +254 727324901

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our ITI Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 727324901 or mail info@intensivetraining.co.ke

COURSE FEES

One on One training -KES 80,000 / USD 1100

Virtual Training -Kes 70,000/USD 1800