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    R Programming for Data Science: From Basics to Advanced

    Posted By: lucky_aut
    R Programming for Data Science: From Basics to Advanced

    R Programming for Data Science: From Basics to Advanced
    Last updated 10/2025
    Duration: 6h 40m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.35 GB
    Genre: eLearning | Language: English

    Build a solid foundation in R programming and become confident in data science, analysis, and visualization.

    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.

    Requirements
    - No programming experience is needed.
    - Just a computer with internet access and R installed.
    - Basic math helps, but it’s not required.
    - Bring curiosity and a desire to learn data science with R!

    Description
    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 forbeginners and aspiring data analystswho 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 useR and RStudio, understand thecore concepts of R programming, and work withdata structureslike vectors, matrices, and data frames. Step by step, you’ll move intodata manipulation, visualization, and statistical analysis, using tools likeggplot2and R’s built-in functions.

    As the course progresses, you’ll exploreprobability, 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 indata-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.

    Who this course is for:
    - This course is perfect for beginners who want to start learning data science with R.
    - It’s great for students, analysts, or professionals looking to boost their data skills.
    - QA engineers or developers wanting to explore data analysis will also benefit.
    - Anyone curious about data and eager to learn practical R programming is welcome!
    More Info