Introduction to R Programming

Introduction to R Programming introduces students to the basics of the R programming language. The goal of the course is to provide students a thorough grasp of the R programming language, including its syntax and applications in data analysis, visualisation, and statistical modelling.

Skills you will learn

1. Fundamentals of R programming
2. Data structures and manipulation
3. Data visualisation
4. Statistical modelling and hypothesis testing
5. Machine learning algorithms

Syllabus

Introduction to R programming

1. R programming environment setup
2. R syntax and data types

Variables and functions

1. II. Data Structures and Manipulation
2. Vectors and matrices
3. Data frames and lists

Reading and writing data

1. III. Data Visualization
2. Plotting in R
3. Creating interactive visualisations

Using ggplot2 library

1. IV. Statistical Modeling and Hypothesis Testing
2. Descriptive statistics
3. Inferential statistics

Hypothesis testing

1. V. Machine Learning Algorithms
2. Regression models
3. Classification models
4. Clustering algorithms

Reason to join techspirals:

1. Experienced instructors who are experts in their fields
2. Hands-on projects and case studies to apply what you've learned
3. Supportive community of peers and mentors
4. Flexible learning options to fit your schedule
5. Career services to help you achieve your professional goals.