R Programming for Data Science

Learn R Programming Fundamentals, Data Wrangling, Data Visualization for Data Science
4.53 (78 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
R Programming for Data Science
1 350
students
8 hours
content
Sep 2023
last update
$29.99
regular price

Why take this course?

🎉 Course Title: R Programming for Data Science

🎓 Headline: Master R Programming Fundamentals, Data Wrangling, and Data Visualization for Data Science!


Welcome to the World of R Programming! 🚀

Are you ready to dive into the world of data science and machine learning? Or perhaps you're looking to enhance your programming skills with a language that stands out in the analytics field? Regardless of your level - beginner or seasoned programmer - this course is designed to guide you through the fundamentals of R Programming at your own pace. 🕒

Why Choose R Programming for Data Science?

  • Industry Demand: Employers across the globe are on the hunt for professionals who can handle data with expertise in R.
  • Open Source & Free: R is a powerful open-source language that's accessible to all without any licensing fees.
  • Syntax & Documentation: Known for its clean syntax and comprehensive documentation, R is both powerful and user-friendly.

Course Highlights:

  • Self-Paced Learning: No rush here! Learn at your own speed and convenience. 🛑➡️▶️
  • Beginner Friendly: Ideal for beginners and those new to R, this course will have you writing R code in no time!
  • Complete Setup Guide: We'll walk you through the installation process of R and RStudio, setting up your programming environment from scratch.
  • Hands-On Tutorials: With screen-cast coding sessions, you'll get practical experience that solidifies your understanding. 🎥➡️⚓️

What You Will Learn:

  • R Basics & Operators: Gain a firm grasp of the foundational elements and operations within R.
  • Fundamentals of R Programming: Understand the core concepts that form the bedrock of your future R programs.
  • Vectors, Matrices, Lists: Learn to handle different data structures in R with ease.
  • Data Frames: Master manipulation of data frames, which are crucial for managing datasets.
  • Importing Data: Import text and CSV files into data frames, turning raw data into actionable insights.
  • Data Wrangling: Utilize the dplyr package to clean, filter, and transform your data effectively. 📊
  • Data Visualization: Create compelling visualizations that tell the story behind your data with R's powerful plotting functions.

By the end of this course, you will be equipped to:

  • Write R code to solve complex problems.
  • Analyze and manipulate data like a pro using R's robust libraries and tools.
  • Create stunning data visualizations to present your findings.
  • Open doors for yourself in the exciting field of Data Science and Machine Learning. 📈🧠

Enroll now and embark on an unforgettable journey into the heart of data with R Programming for Data Science! 🌟

Course Gallery

R Programming for Data Science – Screenshot 1
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Related Topics

2175168
udemy ID
25/01/2019
course created date
20/11/2019
course indexed date
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course submited by
R Programming for Data Science - | Comidoc