R Programming Skills you will learn

  • Variables
  • Data types
  • Operators
  • Conditional statements
  • Loops
  • Strings
  • Functions

Who should learn this free R Programming course?

  • Software professionals
  • Testing professionals
  • Data science enthusiasts
  • Aspiring programmers

What you will learn in this R Programming free course?

  • R Programming for Beginners

    • Introduction

      01:26
      • Introduction
        01:26
    • Lesson 01: What is R Programming

      10:33
      • What is R Programming
        10:33
    • Lesson 02: Variables and Data Type in R

      10:27
      • Variables and Data Type in R
        10:27
    • Lesson 03: Logical Operators

      22:49
      • Logical Operators
        22:49
    • Lesson 04: Vectors

      15:56
      • Vectors
        15:56
    • Lesson 05: List

      14:02
      • List
        14:02
    • Lesson 06: Matrix

      11:21
      • Matrix
        11:21
    • Lesson 07: Data Frame

      01:27:54
      • Data Frame
        01:27:54
    • Lesson 09: Functions in R

      01:19:56
      • Functions in R
        01:19:56
    • Lesson 10: Data Manipulation in R-dplyr

      25:48
      • Data Manipulation in R dplyr
        25:48
    • Lesson 11: Data Manipulation in R-tidyr

      07:01
      • Data Manipulation in R tidyr
        07:01
    • Lesson 12: Data Visualization In R

      28:33
      • Data Visualization In R
        28:33
    • Lesson 13: Time Series Analysis in R

      01:10:31
      • Time Series Analysis in R
        01:10:31
    • Lesson 14: Knowledge Check

      • Knowledge Check

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn R Programming?

Trusted by tech giants

Google, Facebook, HP, Airbnb, and HSBC use R programming

 

$79,580


Average annual salary for an R programmer
 

Career Opportunities

  • Average Salary

    $68K - $91K Per Annum

    Hiring Companies
    IBM
    Facebook
    Google
About the Course

By enrolling in this R Programming free online course with certificate, you'll start grasping the basics of R programming. As you progress, we'll explore more advanced topics, focusing on practical aspects such as handling and manipulating data effectively. We'll dive into visualization techniques, helping you present data in a way that makes sense. Additionally, we'll tackle time series analysis, showing you how to draw meaningful insights from evolving data. Through hands-on exercises and real-world examples, you'll gain the confidence to apply R to various tasks related to working

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FAQs

  • How does R programming empower data scientists in the field of epidemiology?

    R facilitates advanced statistical analysis and visualization for modeling infectious diseases, analyzing large datasets, and identifying trends in epidemiology.

  • Is this course suitable for beginners with no prior experience?

    A basic understanding of programming, statistics, or mathematics is recommended for effective learning.

  • Can R be used for real-time sentiment analysis in social media data?

    R is versatile for real-time sentiment analysis in social media, offering insights into public sentiments and reactions.

  • Will I receive any certification upon completing this free R programming course?

    Upon completing the course, you'll be awarded a Completion Certificate. This certificate recognizes your proficiency in fundamental R programming skills and validates your learning journey.

  • How long will I have access to the course materials?

    You'll have generous access to the course materials for 90 days, ensuring ample time to learn R for free.

  • What is the free R programming course duration?

    The free R Programming certification lasts 7 hours. This duration allows for an in-depth exploration of R programming concepts and accommodates various learning styles and preferences.

  • How long does it take to complete the course?

    The free R Programming course lasts 7 hours, but completion time varies based on individual learning pace and engagement.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.