R Programming Language Online Course
R Programming Language for Statistical Computing and Graphical Representation
Updated on Apr, 2024
Language - English
Development,Data Science,R Programming
Lectures -83
Resources -84
Duration -68.5 hours
30-days Money-Back Guarantee
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
Course Description
This course is intended for data miners, statisticians, and software developers who are interested in creating statistical software using the R programming language. This lesson will offer you a thorough overview of practically all of the R programming language's ideas, which will enable you to advance to greater levels of proficiency if you are just learning the language.
R Programming Language Online Course
R is a powerful programming language that is used for statistical computing, data analysis, and data visualization. It is a free and open-source software environment that is used by data scientists, statisticians, and researchers around the world. This course is designed to teach you the basics of R programming from the ground up.
You should have a basic understanding of computer programming jargon before continuing with this course. You will understand the R programming ideas and go quickly through the learning process if you have a basic familiarity with any of the computer languages.
Who this course is for:
All graduates and pursuing students.
Those who wish to excel in Data Analytics
Goals
What will you learn in this course:
R Programming Language for Statistical Computing and Graphical Representation
Learn how to use R documentation
Understand different data types and structures in R
Learn how to install R packages
Prerequisites
What are the prerequisites for this course?
Basic computer knowledge
Basic programming knowledge
Curriculum
Check out the detailed breakdown of what’s inside the course
R Programming Language
82 Lectures
-
Introduction to R Programming
20:05
20:05
-
R Installation & Setting R Environment
50:16
50:16
-
Variables, Operators & Data types
53:10
53:10
-
Structures
47:08
47:08
-
Vectors
01:04:04
01:04:04
-
Vector Manipulation & Sub-Setting
01:06:03
01:06:03
-
Constants
41:38
41:38
-
RStudio Installation & Lists Part 1
01:02:20
01:02:20
-
Lists Part 2
47:44
47:44
-
List Manipulation, Sub-Setting & Merging
45:01
45:01
-
List to Vector & Matrix Part 1
49:52
49:52
-
Matrix Part 2
44:02
44:02
-
Matrix Accessing
48:26
48:26
-
Matrix Manipulation, rep function & Data Frame
56:08
56:08
-
Data Frame Accessing
54:01
54:01
-
Column Bind & Row Bind
50:32
50:32
-
Merging Data Frames Part 1
50:04
50:04
-
Merging Data Frames Part 2
54:26
54:26
-
Melting & Casting
52:55
52:55
-
Arrays
43:50
43:50
-
Factors
50:53
50:53
-
Functions & Control Flow Statements
40:27
40:27
-
Strings & String Manipulation with Base Package
53:22
53:22
-
String Manipulation with Stringi Package Part 1
58:33
58:33
-
String Manipulation with Stringi Package Part 2 & Date and Time Part 1
48:13
48:13
-
Date and Time Part 2
53:19
53:19
-
Data Extraction from CSV File
42:02
42:02
-
Data Extraction from EXCEL File
50:40
50:40
-
Data Extraction from CLIPBOARD, URL, XML & JSON Files
50:04
50:04
-
Introduction to DBMS
50:22
50:22
-
Structured Query Language, MySQL Installation & Normalization
41:35
41:35
-
Data Definition Language Commands
01:02:24
01:02:24
-
Data Manipulation Language Commands
47:29
47:29
-
Sub Queries & Constraints
16:07
16:07
-
Aggregate Functions, Clauses & Views
07:21
07:21
-
Data Extraction from Databases Part 1
52:31
52:31
-
Data Extraction from Databases Part 2 & DPlyr Package Part 1
52:39
52:39
-
DPlyr Package Part 2
51:36
51:36
-
DPlyr Functions on Air Quality Data Set
57:01
57:01
-
Plyr Package for Data Analysis
46:51
46:51
-
Tidyr Package with Functions
50:48
50:48
-
Factor Analysis
57:11
57:11
-
Prob.Table & CrossTable
50:22
50:22
-
Statistical Observations Part 1
51:48
51:48
-
Statistical Observations Part 2
40:35
40:35
-
Statistical Analysis on Credit Data set
01:00:29
01:00:29
-
Data Visualization, Pie Charts, 3D Pie Charts & Bar Charts
59:20
59:20
-
Box Plots
54:38
54:38
-
Histograms & Line Graphs
45:26
45:26
-
Scatter Plots & Scatter plot Matrices
01:03:47
01:03:47
-
Low Level Plotting
56:01
56:01
-
Bar Plot & Density Plot
46:31
46:31
-
Combining Plots
35:37
35:37
-
Analysis with Scatter Plot, Box Plot, Histograms, Pie Charts & Basic Plot
51:07
51:07
-
Mat Plot, ECDF & Box Plot with IRIS Data set
01:02:55
01:02:55
-
Additional Box Plot Style Parameters
01:01:41
01:01:41
-
Set.Seed Function & Preparing Data for Plotting
01:09:42
01:09:42
-
QPlot, ViolinPlot, Statistical Methods & Correlation Analysis
59:26
59:26
-
ChiSquared Test, T Test, ANOVA, ANCOVA, Time Series Analysis & Survival Anal
54:42
54:42
-
Data Exploration and Visualization
51:00
51:00
-
Machine Learning, Types of ML with Algorithms
01:04:53
01:04:53
-
How Machine Solve Real Time Problems
43:33
43:33
-
Nearest Neighbor(KNN) Classification
01:07:45
01:07:45
-
KNN Classification with Cancer Data set Part 1
01:03:15
01:03:15
-
KNN Classification with Cancer Data set Part 2
43:12
43:12
-
Navie Bayes Classification
43:53
43:53
-
Navie Bayes Classification with SMS Spam Data set & Text Mining
58:43
58:43
-
WordCloud & Document Term Matrix
56:39
56:39
-
Train & Evaluate a Model using Navie Bayes
01:11:40
01:11:40
-
MarkDown using Knitr Package
01:02:15
01:02:15
-
Decision Trees
57:16
57:16
-
Decision Trees with Credit Data set Part 1
47:03
47:03
-
Decision Trees with Credit Data set Part 2
45:11
45:11
-
Support Vector Machine, Neural Networks & Random Forest
46:50
46:50
-
Regression & Linear Regression
44:04
44:04
-
Multiple Regression
48:24
48:24
-
Generalized Linear Regression, Non Linear Regression & Logistic Regression
35:37
35:37
-
Clustering
29:04
29:04
-
K-Means Clustering with SNS Data Analysis
01:06:18
01:06:18
-
Association Rules (Market Basket Analysis)
39:33
39:33
-
Market Basket Analysis using Association Rules with Groceries Data set
56:19
56:19
-
Python Libraries for Data Science
22:32
22:32
Instructor Details
DATAhill Solutions Srinivas Reddy
eCourse Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe now
Online Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now