Virtual Instructor-Led Training

Onsite Training

R For Marketing Research and Analytics

AI & Data

<ul><li>Comparison to SAS or other statistical packages</li><li>Why R and When R</li><li>Overview of R language</li></ul>

What is R?

<ul><li>Basic Objects</li><li>Data Frames</li><li>Loading and Saving Data</li><li>Visualizing Data</li></ul>

Basics of R

<ul><li>Sample functions</li><li>Regression Analysis of Exam Grades</li></ul>

Writing R Functions and Sample Regression

<ul><li>Scalars, Vectors, Arrays, and Matrices introduction</li><li>Vector operations</li><li>Filtering</li><li>Vector functions</li><li>Vector elements and equality</li><li>Creating Matrices and Arrays</li><li>Matrix Operations</li><li>Higher-dimensional Arrays</li></ul>

Working with Vectors, Matrices, and Arrays

<ul><li>Creating Lists and Data Frames</li><li>List and Data Frame Operations</li><li>Accessing List and Data Frame elements</li><li>Functions on Lists and Data Frames</li></ul>

Lists and Data Frames

<ul><li>Functions for Statistical Distributions</li><li>Linear Algebra Operations on Vectors and Matrices</li><li>Set Operations</li></ul>

Statistical Analysis and Linear Algebra in R

<ul><li>Simulating Data</li><li>Functions to Summarize a Variable</li><li>Summarizing Data Frames</li><li>Single Variable Visualization</li><li>Lattice vs ggplot2</li></ul>

Fundamentals of Data Analysis

<ul><li>Simulating Customer Data</li><li>Simulating Satisfaction Survey Data</li><li>Simulating Non-Response Data</li><li>Scatterplots and Associations Between Variables</li><li>Correlation testing</li></ul>

Relationships Between Continuous Variables

<ul><li>Jitter</li><li>polychoric</li></ul>

Exploring Associations in Survey Responses

<ul><li>Simulating Consumer Segment Data</li><li>Finding Descriptives by Group</li></ul>

Comparing Groups: Tables and Visualizations

<ul><li>Chi-square testing</li><li>Binomial testing and Confidence intervals</li><li>and T-testing</li><li>ANOVA</li></ul>

Comparing Groups: Statistical Tests

<ul><li>Fitting linear models with lm</li><li>Fitting linear models with multiple predictors</li><li>Overfitting</li></ul>

Linear Models and Regression

<ul><li>Brand perception and rescaling data</li><li>Principal Component Analysis (PCA)</li><li>Exploratory Factor Analysis (EFA)</li><li>Multidimensional Scaling (MDS</li><li>Collinearity</li></ul>

Reducing Data Complexit

<ul><li>Clustering using kmeans and other techniques</li><li>Classification using naÃ¯ve Bayesian and random Forest</li><li>Identifying Potential Customers</li></ul>

Customer Segmentation

<ul><li>Association Rules</li><li>Non-Transactional Data</li><li>Choice Modeling</li><li>Customer Heterogeneity</li></ul>

Market Basket Analysis and Choice Modeling

Familiarity with data analytics in SAS or similar statistical software package

Leadership

courseBanner

Course Banner

courseOverview

Course Overview section

courseAnnouncement

Additional information.

courseDetails

What you will learn

targetAudience

Who should attend

courseOutline

Course Outline

courseFAQ

Coursepromobanner

Course Promobanner Section

courseRelatedTargets

Course Related Targets

courseTicker

Course Ticker

preRequisites

Prerequisites

courseTestimonials

Customer Testimonials

courseLocations

Find More Locations by NetCom Learning For This Training

For Your convenience we are offering This course at more locations. Expand your training options and accelerate your learning journey with NetCom.

Learn to map understanding of data analytics techniques from SAS to R, marketing analytics techniques, real-world applications of marketing analytics.

R For Marketing Research & Analytics

Microsoft

AI CERTs™

Google Cloud

Cisco

Amazon Web Services

CompTIA

EC-Council

ISC2

ITIL

Autodesk

Cloud

Security

Networking

App Development

Architecture & Design

Business Applications

Business Process

Business & Leadership

e-Learning

Trainings

Managed Learning Services

NetCom365

Learning Passport

EdAssist

Talents for Hire

NetCom Learning Academy

AI Summer Skill Fest 2025

Financial Services

Healthcare

Federal Government

State & Local Government

Technology

Complimentary AI+ Foundation™ Training

Free AI Training Consultation

AI Certs Training Bundles

CompTIA Continuing Education (CE)

CompTIA Exam Prep e-Learning Bundles

Microsoft ECIF Program

Microsoft QuickStart Program

Microsoft Partner Training

Microsoft AI Bootcamp for Educators

Microsoft Applied Skills

AWS Skill Builder

AWS Blended Learning

AWS Learning Needs Analysis (LNA)

AWS e-Learning

Cisco Continuing Education (CE)

Cisco Learning Credits

Cisco U

Free Networking Training Consultation

Google Cloud Leadership AI Training

Solutions

Resources

Company

R For Marketing Research and Analytics

Upcoming Schedules

Course Prerequisites

Required

Course Outline