Mastering R Programming: From Novice to Data Maestro

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Duration 5 h 53 m 52 s

Price

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Mastering R Programming: From Novice to Data Maestro

About Course

Embark on a transformative journey into the dynamic world of data analysis and statistical computing with our comprehensive online course, "Mastering R Programming." Whether you're a beginner seeking to unravel the mysteries of data science or a seasoned professional eager to enhance your analytical prowess, this course is your gateway to mastering the R programming language.

Unlock the Power of R: Dive headfirst into the heart of R, the language of choice for statisticians, data scientists, and analysts worldwide. Through a carefully crafted curriculum, you'll grasp the fundamentals of R programming and gradually advance to complex data manipulation, statistical modeling, and visualization techniques.

Course content

Introduction2 m 18 s Start

Installing R on Windows3 m 27 s Start

Installing R Studio on Windows1 m 54 s Start

Look around R Studio3 m 49 s Start

First R Program3 m 29 s Start

Basic Mathematical Operations10 m 7 s Start

Variables8 m 7 s Start

Basic Data Types7 m 57 s Start

Variable Assignment4 m 35 s Start

Comments1 m 9 s Start

Relational Operations3 m 47 s Start

Logical Operators4 m 16 s Start

Sequences9 m 39 s Start

Replicate3 m 42 s Start

Control Structures1 m 31 s Start

if, if-else and else-if statements6 m 53 s Start

ifelse() function3 m 32 s Start

For Loop5 m 10 s Start

While Loop5 m 1 s Start

Repeat Loop4 m 57 s Start

Break Next Statement3 m 19 s Start

Functions6 m 15 s Start

Default and Named Arguments8 m 30 s Start

Lazy Evaluations1 m 36 s Start

Functions Returning Multiple Values2 m 31 s Start

Incline Functions1 m 54 s Start

Creating Vectors14 m 55 s Start

Sub-setting Vectors10 m 4 s Start

Matching Operator2 m 56 s Start

Vector Arithmetic5 m 35 s Start

Vector Methods3 m 24 s Start

Implicit _ Explicit Coercion5 m 16 s Start

Logical Vectors7 m 33 s Start

Factors2 m 41 s Start

Mathematical Functions7 m 39 s Start

Generating Random Numbers1 m 44 s Start

Creating Matrix6 m 57 s Start

Using Diag Function3 m 21 s Start

Naming Rows and Columns of Matrix3 m 16 s Start

Sub-setting Matrix7 m 56 s Start

Martix rbind() and cbind()5 m 22 s Start

Matrix Operations4 m 47 s Start

Matrix Specific Function4 m Start

Creating Lists5 m 37 s Start

Sub-setting or Slicing Lists5 m 8 s Start

Naming List _ Subset Operator2 m 57 s Start

List Concentration2 m 32 s Start

Data Frames1 m 55 s Start

Creating Data Frames3 m 55 s Start

Sub-setting Data Frame7 m 14 s Start

Data Frame Subset() Function5 m 16 s Start

Data Frame rbind() and cbind() functions4 m 23 s Start

Data Frame edit() function3 m 9 s Start

Missing Data in Data Frames9 m 2 s Start

Import Data from Text Files4 m 40 s Start

Import Data from CSV Files1 m 58 s Start

Import Data from RDS Files1 m 41 s Start

Import Data from Internet2 m 25 s Start

Import Data from Clipboard2 m 45 s Start

Exporting Data to CSV Files2 m 58 s Start

Installing dplyr Package2 m 25 s Start

dplyr select() - Select Columns of Data Frame6 m 57 s Start

dplyr filter() - Extract Rows from Data Frame3 m 25 s Start

dplyr mutate() - Mutate Data Frames3 m 24 s Start

dplyrgroup_by() - Generate Summary Statistics2 m 28 s Start

Bar Plots4 m 57 s Start

Horizontal Bar Plots3 m 8 s Start

Histograms3 m 27 s Start

Scatter Plots2 m 29 s Start

Line Plots1 m 12 s Start

Box Plots2 m 27 s Start

Stacked Bar Plots6 m 44 s Start

Multiple Plots in a Layout7 m 14 s Start

Exploring Stock Prices Datasets5 m Start

Find Highest and Lowest Stock Price and Dates4 m 48 s Start

Graphically Analyzing Stock Prices7 m 9 s Start

Graphically Comparing Stock Prices in same Layout2 m 12 s Start

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Mastering R Programming: From Novice to Data Maestro

About Course

Power Education

Course Instructor