Projects in R: Learn R Creating Data Science Projects

R Programming Language is not an easy language to learn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that...

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Course Description

R Programming Language is not an easy language to learn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that you can do with R is just not enough – you require a complete breakdown of how to go about doing it. This is why we have designed this comprehensive project-based course! In this course, we attemp...

R Programming Language is not an easy language to learn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that you can do with R is just not enough – you require a complete breakdown of how to go about doing it. This is why we have designed this comprehensive project-based course! In this course, we attempt to break down this complex programming language and environment into an easy to follow structured tutorial that will help you not only understand this statistical language, but also become more familiar with how you can go about using it.

What you’ll learn
  • Practical approach to the R Programming
  • Learn Different Forms of Data Visualization
  • Learn efficient ways to visualize data
  • Learn ways to manipulate data
  • Learn to generate reports using R

Covering Topics

1
Section 1 : Introduction

2
Section 2 : Basic Operations in R

3
Section 3 : Reading Data into R

4
Section 4 : Manipulating Data

5
Section 5 : Data Visualization

6
Section 6 : Spatial Data Visualization

7
Section 7 : Manipulating Strings

8
Section 8 : String Manipulation Using Stringr

Curriculum

      Section 1 : Introduction
    1
    Intro
    2
    Intro to R Preview
    3
    R in windows
    4
    Installing R studio
      Section 2 : Basic Operations in R
    5
    R as Calculator
    6
    Working with vectors Part 1 Preview
    7
    Working with vectors Part 2
    8
    Working with character vectors Preview
    9
    Working with Matrix
    10
    Generating Numbers
    11
    Pacakge in R Preview
    Quiz:
    Basic Operations in R
      Section 3 : Reading Data into R
    12
    Data visualization and R - What will you learn
    13
    Reading CSV files- Part 1
    14
    Reading CSV files -Part 2 Preview
    15
    Reading other formats
    16
    Extracting values from vectors - Part 1
    17
    Extracting values from vectors - Part 2
    18
    Subsetting Dataframe using
    19
    Subsetting using subset function Preview
    Quiz:
    Reading Data into R
      Section 4 : Manipulating Data
    20
    Working with vectors
    21
    Factors
    22
    Know types of data Preview
    23
    Text Processing
    24
    Working with Logical Values
    25
    Working with Missing Values
    Quiz:
    Manipulating Data
      Section 5 : Data Visualization
    26
    Introduction to Plots Part 1
    27
    Introduction to Plots Part 2
    28
    Introduction to Plots Part 3
    29
    Introduction to Plots Part 4
    30
    Introduction to Plots Part 5
    31
    Poltting a BAR graph
    32
    Plotting a Bar chart
    33
    Coloring Negative and Positive
    34
    Adjusting Bar Width and Spacing
    35
    Giving Lables to the bar
    36
    Pie chart Part 1
    37
    Pie chart Part 2
    38
    Pie chart Part 3
    39
    Fan Plot
    40
    Histogram Part 1
    41
    Histogram Part 2
    42
    Kernel Density Plot Part 1
    43
    Kernel Density Plot Part 2
    44
    Box Plots Part 1
    45
    Box Plots Part 2
    46
    Scatter Plot Part 1
    47
    Scatter Plot Part 2
    48
    Scatter Plot Part 3
    49
    Scatter Plot Part 4
    50
    Line Graph Part 1
    51
    Line Graph Part 2
    52
    Line Graph Part 3
    53
    Line Graph on shaded area Part 1
    54
    Line Graph on shaded area Part 2
    55
    Line Graph with confidence intervals
    Quiz:
    Data Visualization
      Section 6 : Spatial Data Visualization
    56
    Spatial Data
    57
    Maps Part 1
    58
    Maps Part 2
    59
    Maps Part 3
    60
    Maps Part 4
    61
    Maps Part 5
    62
    Maps Part 6
    63
    Maps Part 7
    64
    Heatmap in R
      Section 7 : Manipulating Strings
    65
    Introduction
    66
    Objective
    67
    Character Manipulation Part 1
    68
    Character Manipulation Part 2
    69
    Character Manipulation Part 3
    70
    Character Manipulation Part 4
    71
    Strings Part 1
    72
    Strings Part 2
    73
    Strings Part 3
    74
    Strings Part 4
    75
    Strings Part 5
    76
    Strings Part 6
    77
    Strings Part 7
      Section 8 : String Manipulation Using Stringr
    78
    Using Stringer Part 1
    79
    Using Stringer Part 2
    80
    Pratical Approach Part 1
    81
    Pratical Approach Part 2
    82
    Pratical Approach Part 3

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