Introduction to R programming & RStudio for beginners

Introduction to R programming & RStudio for beginners - with practical exercises

3.54 (63 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Introduction to R programming & RStudio for beginners
7 216
students
31 mins
content
Jan 2021
last update
$19.99
regular price

What you will learn

Comprehensive introduction to R programming & R Studio

Introduction to R coding

Introduction to data science

introduction to data analytics

how to install R studio

how to analyse data using R and R studio

Why take this course?

🚀 Introduction to R Programming & RStudio for Beginners 📚


Course Headline:

Master the Foundations of Data Science with R and RStudio


What You'll Learn:

Overview: This course is your gateway to the world of data science, statistics, and analytics with R programming. Designed for beginners, it will introduce you to the core concepts and practical exercises necessary to kickstart your journey in R and RStudio. 🧐✨

Why R Programming Language?

  • Versatility: A leading tool for machine learning, statistics, and data analysis. 🤖
  • Platform Independence: Applicable across all operating systems. 🌐
  • Cost-Effective: Open-source and free to use without any licensing fees. 💰
  • Integration Capabilities: Easily connects with other programming languages like C, C++, and various data sources. ⛓️
  • Community Support: Join a growing community of R users and contributors. 🤗

Applications of R: R is the go-to tool for data professionals across industries including finance, research, and tech giants like Google, Facebook, and more. It's essential for:

  • Data Science
  • Statistical Computing
  • Data Analysis and Reporting
  • Machine Learning Applications

Statistical Features of R:

  • Basic Statistics: Calculate measures of central tendency effortlessly. 📊
  • Static Graphics: Create compelling static graphics and visualize data effectively. 🎨
  • Probability Distributions: Handle various statistical distributions with ease. 🔬

R is a powerful tool for statistical analysis, offering:

  • A wide array of statistical techniques
  • Publication-quality plots with mathematical precision
  • The ability to extend functionality through custom functions and C, C++, or Fortran code integration.

R & RStudio Includes:

  • Data Handling: Efficient data storage and manipulation facilities. 🗂️
  • Operators & Tools: Advanced operators for matrix computations and a suite of intermediate tools for analysis.
  • Graphical Facilities: Powerful tools for on-screen or hardcopy data visualization. 📈
  • Programming Language: A simple, effective programming language with conditional statements, loops, and functions.

Course Highlights:

  • Beginner-Friendly: No prior experience in R is required; you'll start from the basics. 🏫
  • Practical Exercises: Engage with hands-on activities to solidify your understanding. 🖥️
  • Real-World Applications: Learn how R is used by professionals in various fields. 🌟
  • Community Resources: Access resources that will support you beyond the course. 🌍
  • Interactive Learning: Benefit from a combination of video tutorials, quizzes, and practical exercises. 🎓

Join us on this journey to unlock the power of data analysis with R and RStudio. Enroll now and embark on a rewarding career path in Data Science! 🚀💻


Whether you're looking to transition into data science, enhance your current skill set, or simply satisfy your curiosity about R and RStudio, this course is the perfect starting point. Dive into the world of data with confidence and expertise. Sign up today and let's make data your ally! 📚🚀

Screenshots

Introduction to R programming & RStudio for beginners - Screenshot_01Introduction to R programming & RStudio for beginners - Screenshot_02Introduction to R programming & RStudio for beginners - Screenshot_03Introduction to R programming & RStudio for beginners - Screenshot_04

Coupons

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Related Topics

3414440
udemy ID
12/08/2020
course created date
09/09/2020
course indexed date
Angelcrc Seven
course submited by