Introduction
R is one of the best programming languages specifically designed for statistics and graphics. Programming in R is a fast and effective way to perform advanced data analyses and manipulations. In this course, you will learn how to use R and utilize the many data analysis techniques, methods, and functions it has to offer to the professional data scientist.
Duration
10 days
Target Group
Anyone interested in answering questions with data analysis, data visualization, and data science.
Course Objectives
Course Outline
Introduction & Getting Started
The building blocks of R
Vectors and vector operations
Matrices
Fundamentals Of Programming With R
Data frames
Manipulating data
Visualizing data
Exploratory data analysis
Hypothesis Testing
Linear Regression Analysis
We are proud to offer this course in a variety of training formats to suit your needs.
Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.
Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.
Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.
# | Job Title | Organisation | Country |
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1 | Researcher | IITA | Kenya |
2 | Researcher | IITA | Kenya |
3 | Statistics Officer | AFA | Kenya |