R Programming Easy As ABC: For The Beginner Data Scientist

Learn Data Analytics, Data Manipulation and Data Visualization using R Programming, R Studio and ggplot2 Package

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R Programming Easy As ABC: For The Beginner Data Scientist

What You Will Learn!

  • Foundation of R Programming
  • How to create variables
  • How to create data structures
  • How to use r functions cbind(), rbind()
  • Hands on practice with large dataset
  • How to extend R with packages
  • How to use data science package Tidyverse
  • Learn to work with dataframes
  • Learn data analyzation using ggplot2 package
  • Data manipulation and conditional statements

Description

Hello and welcome to R Programming Easy as ABC!

This course was developed for the beginner programmer, data analyst, developer or individual who is interested in learning the fundamentals of R Programming.  R Programming has somewhat of a reputation for being difficult to learn.  That's why we designed this course for the absolute beginner. This course will prepare you for working with data and learning the basics of the data science life cycle!

What makes this course unique?

  • Designed for the absolute beginner. No prior programming experience required.

  • Present complex concepts in a way that is relatable and easy to understand

  • Have included fun and practical examples and illustrations to enhance learning

  • Have included several examples and opportunities to practice concepts with hands on experience.


    What Will I Learn:

  • Fundamentals to R Programming

  • How to import / export data

  • How to create unique data

  • How to analyze data

  • How to manipulate data

  • How to visualize data using graphs


    What Is Covered In This Course:

  • Data Types (Character, Double, Integer, Logical)

  • Data Structures (Vector, Matrix, List, Dataframe)

  • How to work with Built In Functions (ex: cbind, rbind)

  • How to work with User Defined Functions

  • How to work with Packages (ggplot2)

  • Variable Names

  • Vectorization

  • Vector Recycling

  • Subsetting Data Structures

  • Implicit / Explicit Coercion

  • Loops (For Loop, While Loop, Repeat Loop)

  • Conditional Statements

  • Logical and Numeric Operators

  • Data Import and Export

  • Accessing R built in datasets

  • Data Creation

  • Data Analytics

  • Data Wrangling

  • Data Manipulation

  • Data Visualization

  • Grammar of Graphics using R package ggplot2

  • Most importantly HAVE FUN!!!!!



Who Should Attend!

  • Beginner data scientist, data analysts, business analyst, programmer or developer
  • Any individual, hobbyist or enthusiast curious about learning data science using R Programming

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Tags

  • Data Analysis
  • Data Structures
  • Data Visualization
  • R (programming language)

Subscribers

10

Lectures

58

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