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R programming from Scratch & Practice Case Studies workout

3 hours on-demand video

$ 11.99

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Brief Introduction

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable

Description

What is this course about?

This course helps student learn R syntax for

Import / Enter / Viewing data and metadata in R
Conduct Frequency Distribution Analysis / Univariate Analysis in R
Create derived variables
Merge / Append data sets
Sort / Subset data sets
Learn to substring variables
Create cross tab analysis
conduct Linear Regression analysis
Practice case studies

Terminology associated with the course

R syntax
Data Mining
Analytics
Machine Learning

Material for the course

20 HD Videos
Excel Data sets
PDF of presentation
R code

How long the course should take?

Approximately 4 hours to internalize the concepts

How is the course structures

Section 1 - explains how to get R, R Studio, Understand environment and data for workout

Section 2 - explains the R syntax through examples

Section 3 - explains some other syntax needed for working

Section 4 - Practice Case Studies - apply your knowledge to solve business problems

Why take this course?

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.

Requirements

Requirements
This is a basic course
intermediary computer skills required to install R, R studio and run commands seeing it on video

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