R Programming for Beginners

The power of data is growing and data analysis has become an extremely important task in todays data-run world! R programming language is one of the best languages to not only control but also harness...

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Course Description

The power of data is growing and data analysis has become an extremely important task in todays data-run world! R programming language is one of the best languages to not only control but also harness the copious amounts of data into providing you the information you need. R Programming language is a powerful language for statistical computing and graphics. It is popularly used among statistici...

The power of data is growing and data analysis has become an extremely important task in todays data-run world! R programming language is one of the best languages to not only control but also harness the copious amounts of data into providing you the information you need. R Programming language is a powerful language for statistical computing and graphics. It is popularly used among statisticians and data miners for developing statistical software and performing data analysis. The versatile language is free under the GNU General Public License and was developed on the S Language and environment which was developed at Bell Laboratories. If you want to harness the power of data and become a master data analyst, but dont know where to start - well then this the perfect course for you! We have designed a back to basics course for R Programming Language, where we will breakdown the language into its core components to help make it easier to learn. The course will help you learn what is R Programming Language, the benefits of R, the syntax of the language and also how to write programs using this language. The course has been designed for newbies, as well as intermediate students who want to go back to the basics and learn something new. The course focuses on the core aspects of R programming language and how it can be used to work with data.

What you’ll learn
  • R Programming for Beginners
  • Look and Feel of R
  • Installation for R
  • Variables and Packages
  • Data Sets
  • Charts and Statistics for one variable
  • Working with Data including how to analyze the data
  • Charts for Associations
  • Statistics for Association

Covering Topics

1
Section 1 : Introduction to R

2
Section 2 : Charts

3
Section 3 : Statistics

4
Section 4 : Data Simulation

5
Section 5 : Grouping of Data

Curriculum

      Section 1 : Introduction to R
    1
    Introduction to course Preview
    2
    Installation of R programming
    3
    Basic Fundamentals
    4
    Data sets and packages in R tool
      Section 2 : Charts
    5
    Bar charts for one variable Preview
    6
    Pie charts for one variable
    7
    Histograms
    8
    Boxplots
      Section 3 : Statistics
    9
    Descriptive Statistics Preview
    10
    Modifying Data
    11
    Data Structures
    12
    Data Frames
    13
    Activity Line Chart Plot
    14
    Activity Scattered Plots (2D and 3D)
      Section 4 : Data Simulation
    15
    Working with the Data file Preview
    16
    Grouped charts in R
    17
    Scattered Plots for associations
    18
    Loop functions
    19
    Simulation
    20
    Clustered Bar chart
      Section 5 : Grouping of Data
    21
    Scatter Plots by groups
    22
    Profiling R code
    23
    Correlations
    24
    Bivariate regression
    25
    Two-sample t-test and Paired t-test
    26
    Activity Cluster Analysis

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