R Programming Easy As ABC: For The Beginner Data Scientist

 R Programming Easy As ABC: For The Beginner Data Scientist

R Programming Easy As ABC: For The Beginner Data Scientist | Udemy Coupon ED

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

What you'll learn
  • Students will learn the fundamentals of how to navigate in R Programming. Students will also learn how to create, import, manipulate and visualize data using R programming, R
  • No prior knowledge or experience needed
  • Only a passion and willingness to learn
  • This course was designed for the absolute beginner
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.

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
  • Data Creation
  • Data Analysis
  • Data Manipulation
  • Data Visualization
  • Grammar of Graphics
  • Final project using real world scenario

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