Build a solid foundation in R programming and become confident in data science, analysis, and visualization.
Welcome to “R Programming for Data Science: From Basics to Advanced Analysis” — your complete guide to learning R and applying it to real-world data science tasks.
This course is designed for beginners and aspiring data analysts who want to build a strong foundation in R programming and data analysis, even if they have no prior coding experience.
What you’ll learn
- In this course, students will learn the fundamentals of R programming and its application in data science..
- They will practice data manipulation, visualization, and statistical analysis with real-world datasets..
- Advanced topics such as probability, hypothesis testing, and regression modeling will also be covered..
- By the end, students will be able to analyze, interpret, and visualize data confidently using R..
Course Content
- Introduction to R Programming –> 3 lectures • 27min.
- Working with Data Structures –> 8 lectures • 1hr 4min.
- Understanding R Fundamentals –> 10 lectures • 1hr 13min.
- Data Input and Management –> 2 lectures • 13min.
- Data Visualization in R –> 9 lectures • 1hr 20min.
- Statistics and Probability –> 12 lectures • 1hr 38min.
- Regression and Modeling –> 6 lectures • 44min.
- Final Overview –> 1 lecture • 1min.
Requirements
Welcome to “R Programming for Data Science: From Basics to Advanced Analysis” — your complete guide to learning R and applying it to real-world data science tasks.
This course is designed for beginners and aspiring data analysts who want to build a strong foundation in R programming and data analysis, even if they have no prior coding experience.
You’ll start by learning how to install and use R and RStudio, understand the core concepts of R programming, and work with data structures like vectors, matrices, and data frames. Step by step, you’ll move into data manipulation, visualization, and statistical analysis, using tools like ggplot2 and R’s built-in functions.
As the course progresses, you’ll explore probability, hypothesis testing, regression, working with Data structures, understanding R Fundamentals, Data Input and management, and advanced Data visualization in R techniques, gaining the practical skills needed to analyze and interpret data with confidence. By the end of the course, you’ll not only master the fundamentals of R but also know how to apply them in data-driven projects.
Whether you’re a student, QA engineer, developer, or analyst looking to move into data science, this course will guide you every step of the way — from the basics to advanced analysis.
This course contains the use of artificial intelligence.