Learn R for Business Analytics from Basics

Name: Learn R for Business Analytics from Basics
Rating: 4.2 (1482 reviews)

Know basics of Business Analytics ?! Work-out those skills further on R-platform. Learn R for BA over a weekend !

Created byAnalytics 17

Last updated 2/2015

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What you'll learn

Know how R can be leveraged in Business Analytics
Download and Install R in your machine
Get familiar with R environment
Load important packages into R
Import Data in R and perform exploration and transformation activities
Perform bivariate analysis and plot charts in R to understand data distribution
Run Macros / write functions in R
Run correlation and regression in R and analyse model results

Course content

7 sections • 14 lectures • 1h 42m total length

Udemy Essentials13:37
Udemy essentials for productive learning in the course Learn R for Business Analytics from Basics, covering navigating lectures, HD video, accessing resources, discussions, notes, and certificates.

Downloading and Installing R4:02
Download and install R by visiting the official site, choose your operating system (Mac, Windows, or Linux), download the main file and the necessary components, and follow the on-screen instructions.
First Fiddle with R4:48
Launch the R console, open a new document in the editor, write and save code, and run commands to see results.
Getting Important Packages Installed in R6:50
Explore how to install and load important R packages, install dependencies, and use predefined functions to assess multicollinearity with inflation factor in regression.

First Code and Data Import in R8:55
Learn to write your first R code, set the working directory, save scripts, and import a data file into R, then run the code in the console.
Data Exploration in R7:16
Explore the imported data by viewing top and bottom rows, printing key parts, checking distribution and outliers, and using corn tail to summarize percentiles and descriptive statistics.
Data Manipulation in R6:44
Cap losses to handle outliers and convert gender categories into numeric dummies using if-else logic in R. Prepare the dataset for regression and explore data manipulation techniques.

Correlation in R5:37
Learn to compute correlation in R by examining numeric variables, filtering out non-numeric data, and spotting multicollinearity to inform regression in the next section.
Regression in R14:25
Learn to run a regression in R with lm, check multicollinearity via vif, refine the model, generate predictions with predict, and export policy numbers, actuals, and predictions to csv.

Requirements

A decent quality laptop / desktop where R can be installed
Prior coding knowledge not mandatory
Knowledge of Business Analytics is not mandatory to learn R concepts but recommended if you want to infer analytical test results

Description

Newly Launched Course!

R is the new and fastest growing Business Analytics platform. R shall become (if it hasn't already become) one of the most used Business Analytics tool. It is giving strong competition to giants like SAS, SPSS and other erstwhile business analytics packages.

This course is designed specifically for someone who knows basics of Business Analytics and wants to learn implementation of those skills on R platform.

The course is designed considering the busy schedule of learners. It has power pack content for about 90 mins. If you practice along with learning (which is highly recommended) then you shall take about 1-2 days to complete the course.

You will learn how to perform all the analytical tasks required to develop a "Losses prediction model in R" from scratch. This means that you will be working on:

Downloading and Installing R in your machine
Getting familiar with R environment
Loading important packages in R
Start writing your first code in R
Import Data in R and perform exploration and transformation activities
Do plots in R to understand data distribution
Write your own macro functions
Run correlation and regression in R and analyse model results

By the end of the course you shall be confident and equipped with all the knowledge required to perform analytical activities in R.

If you want to learn Business Analytics or SAS language, then our other course "Business Analytics for Beginners: Using SAS" shall be the best fit for you.

Who this course is for:

Specially designed for new comers in R, starting from very basics
MUST take course for existing professionals in Business Analytics
If you are an entrepreneur, and want to analyse your business data using the best open source analytical software, then this is the course for you
Students researching on any topic which requires data analysis will be highly benefitted by the course
Fundamentals for Business Analytics are not discussed in detail; for that please refer our other course on "Business Analytics for Beginners: Using SAS"

Learn R for Business Analytics from Basics

What you'll learn

Explore related topics

Course content

Udemy Essentials1 lecture • 14min

Introduction to R for Analytics2 lectures • 10min

Installation and Setup of R3 lectures • 16min

Data Import, Exploration & Manipulation in R3 lectures • 23min

Plots and Macros in R2 lectures • 19min

Modelling in R2 lectures • 20min

Conclusion1 lecture • 2min

Requirements

Description

Who this course is for: