Mastering R Programming: From Novice to Data Maestro

Name: Video Courses
Author: Power Education

(0 Reviews)

Duration 5 h 53 m 52 s

~~R 300~~Free

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

Installing R on Windows3 m 27 s

Installing R Studio on Windows1 m 54 s

Look around R Studio3 m 49 s

First R Program3 m 29 s

Basic Mathematical Operations10 m 7 s

Variables8 m 7 s

Basic Data Types7 m 57 s

Variable Assignment4 m 35 s

Comments1 m 9 s

Relational Operations3 m 47 s

Logical Operators4 m 16 s

Sequences9 m 39 s

Replicate3 m 42 s

Control Structures1 m 31 s

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

ifelse() function3 m 32 s

For Loop5 m 10 s

While Loop5 m 1 s

Repeat Loop4 m 57 s

Break Next Statement3 m 19 s

Functions6 m 15 s

Default and Named Arguments8 m 30 s

Lazy Evaluations1 m 36 s

Functions Returning Multiple Values2 m 31 s

Incline Functions1 m 54 s

Creating Vectors14 m 55 s

Sub-setting Vectors10 m 4 s

Matching Operator2 m 56 s

Vector Arithmetic5 m 35 s

Vector Methods3 m 24 s

Implicit _ Explicit Coercion5 m 16 s

Logical Vectors7 m 33 s

Factors2 m 41 s

Mathematical Functions7 m 39 s

Generating Random Numbers1 m 44 s

Creating Matrix6 m 57 s

Using Diag Function3 m 21 s

Naming Rows and Columns of Matrix3 m 16 s

Sub-setting Matrix7 m 56 s

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

Matrix Operations4 m 47 s

Matrix Specific Function4 m

Creating Lists5 m 37 s

Sub-setting or Slicing Lists5 m 8 s

Naming List _ Subset Operator2 m 57 s

List Concentration2 m 32 s

Data Frames1 m 55 s

Creating Data Frames3 m 55 s

Sub-setting Data Frame7 m 14 s

Data Frame Subset() Function5 m 16 s

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

Data Frame edit() function3 m 9 s

Missing Data in Data Frames9 m 2 s

Import Data from Text Files4 m 40 s

Import Data from CSV Files1 m 58 s

Import Data from RDS Files1 m 41 s

Import Data from Internet2 m 25 s

Import Data from Clipboard2 m 45 s

Exporting Data to CSV Files2 m 58 s

Installing dplyr Package2 m 25 s

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

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

dplyr mutate() - Mutate Data Frames3 m 24 s

dplyrgroup_by() - Generate Summary Statistics2 m 28 s

Bar Plots4 m 57 s

Horizontal Bar Plots3 m 8 s

Histograms3 m 27 s

Scatter Plots2 m 29 s

Line Plots1 m 12 s

Box Plots2 m 27 s

Stacked Bar Plots6 m 44 s

Multiple Plots in a Layout7 m 14 s

Exploring Stock Prices Datasets5 m

Find Highest and Lowest Stock Price and Dates4 m 48 s

Graphically Analyzing Stock Prices7 m 9 s

Graphically Comparing Stock Prices in same Layout2 m 12 s

Power Education

Course Instructor

Director and Owner

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