Introduction To Data Science Using R Programming
- Offered byEduonix
Introduction To Data Science Using R Programming at Eduonix Overview
Duration | 11 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Introduction To Data Science Using R Programming at Eduonix Highlights
- Start instantly and learn at your own schedule.
- Lifetime Access to study Material. No Limits!
- A great course for learning Data Science
- Self paced Course
Introduction To Data Science Using R Programming at Eduonix Course details
- Software developers and programmers, data scientists, data analysts, robotics professionals, and computation and educational professionals, among others
- Deep understanding of data analytics
- Learn how to clean and organize data
- Learn how to import and export data to R
- Data Science Using R Programming is a professional programme that aims towards making the professional familiarize with the basics of R programming language and data visualizations in the early stages of the course. Later on, the course will progress to more advanced concepts and visualization strategies.
Introduction To Data Science Using R Programming at Eduonix Curriculum
Section 1 : introduction
Intro
Section 2 : Basics of R tool
Introduction to Course
R programming installation and concepts
R programming computations
Section 3 : Basic Data Visualization
Data Visualization - Module
Pie charts
Bar charts
Boxplots
Histograms
Line charts
Scatterplots
Case Study Basic data visualization
Section 4 : Advanced Data Visualization
Advanced Data Visualization
Basic Illustration of ggplot2 package
Facetting
Boxplots and Jittered Plots
Histograms and Frequency Polygons
Bar Charts and Time Series
Basic Plot Types
Case Study for ggplot2 package Scatterplot Encircling
Surface Plots
Revealing uncertainity
Weighted data
Drawing Maps- Vector Boundries
Drawing Maps - Point Metadata
Diamonds data for research
Dealing with overlapping
Statistical summaries
Scatterplot from excel file
Heatmap and area chart from excel file
Various bar charts from excel file
Section 5 : Leaflet Maps
Implementing Leaflet with R tool
Adding Markers in map
Popups and Labels
Shiny Framework using Leaflet and R
Section 6 : Statistics
Mean, median and mode
Linear Regression
Multiple Regression
Logistic Regression
Normal Distribution
Binomial Distribution
Poisson Regression
Analysis of Covariance
Time Series Analysis
Case study Time Series from dataset
Decision Tree
Implementation of decision tree in Dataset
Nonlinear Least Square
Case Study- Random Forest
Survival Analysis
Section 7 : Data Manipulation
Case Study Exporting data in R
Data Munging and Visualization
Hierarchial Clustering
K means clustering
Introduction To Data Science Using R Programming at Eduonix Entry Requirements
- Educational Qualifications
- Work Experience: You must have a basic knowledge of statistics and mathematics.
- Not mentioned
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