R For Marketing Research
and Analytics
Overview
Course Objective
• Map understanding of data analytics techniques from SAS to R
• Marketing analytics techniques in R
• Real-world applications of marketing analytics in R
Who Should Attend
This course is designed for anyone who needs to learn how to write programs in Python.
Prerequisites
• Familiarity with data analytics in SAS or similar statistical software package
• Basic machine learning concepts
Training Calendar
Intake
Duration
Program Fees
Module
Module 1 - What is R? (30 min)
• Comparison to SAS or other statistical packages
• Why R and When R
• Overview of R language
Module 2 - Basics of R (60 min)
• Basic Objects
• Data Frames
• Loading and Saving Data
• Visualizing Data
Module 3 - Writing R Functions and Sample Regression (60 min)
• Sample functions
• Regression Analysis of Exam Grades
Module 4 - Working with Vectors, Matrices, and Arrays (60 min)
• Scalars, Vectors, Arrays, and Matrices introduction
• Vector operations
• Filtering
• Vector functions
• Vector elements and equality
• Creating Matrices and Arrays
• Matrix Operations
• Higher-dimensional Arrays
Module 5 - Hands-On Exercise (60 min)
• Participants will be asked to create Vectors, Matrices, and Arrays
• Participants will be asked to solve a simple regression problem
• Participants will be asked to translate from SAS to R for basic data
objects
FAQs
General Questions:
Q: What is the R for Marketing Research and Analytics course about?
This 3-day course provides an introduction to marketing research and analytics using R. It covers techniques and examples from various industries such as banking, retail, and telecommunications. The course includes an overview of R, marketing analytics techniques like PCA, EFA, MDS, and real-world applications including clustering, classification, and market basket analysis.
Q: Who should attend this course?
The course is designed for individuals with experience in data analytics using SAS or similar statistical software, who are interested in applying R to marketing research and analytics. It is ideal for professionals in marketing, data analysis, and research who want to enhance their skills with R.
Q: What are the prerequisites for this course?
Participants should be familiar with data analytics in SAS or a similar statistical software package, and have a basic understanding of machine learning concepts.
Q: How long is the course?
The course lasts 3 days, with each day focusing on different aspects of marketing analytics using R.
Q: What key topics are covered in this course?
The course covers the following topics:
Introduction to R and comparison to SAS
Basics of R, including data frames, vectors, and matrices
Writing R functions and sample regression analysis
Working with statistical analysis, linear algebra, and data visualization
Marketing analytics techniques like PCA, EFA, and MDS
Real-world applications like clustering, classification, and market basket analysis
Hands-on exercises applying the techniques covered
Q: Will I receive a certification after completing the course?
Yes, participants will receive a certificate of completion, demonstrating their proficiency in R for marketing research and analytics.
Program Content & Skills:
Q: What foundational R concepts will I strengthen in this course?
You’ll strengthen essential R concepts such as data frames, vectors, matrices, statistical functions, regression analysis, and data visualization. These fundamentals will provide a solid foundation for tackling more advanced tasks in marketing research, data analysis, and analytics.
Q: How does the course help me apply R to real-world marketing problems?
Through hands-on exercises, you’ll apply R to real-world marketing analytics tasks such as brand perception analysis, customer segmentation, market basket analysis, and choice modeling. These practical applications will prepare you for roles in marketing analytics, customer insights, and data-driven decision-making.
Q: What skills will I develop in managing and structuring R projects?
You’ll learn how to structure your R projects using functions, data frames, and matrices. The course also covers handling data, running statistical tests, working with R packages, and visualizing results. These skills will help you manage and execute complex marketing research projects efficiently.
Q: Will I learn how to work with different data types and marketing systems in R?
Yes, you will work with various R data structures such as data frames, lists, and vectors. You’ll also learn to manipulate and analyze marketing data, perform statistical tests, and work with customer data, giving you the skills to manage diverse marketing data types and systems.
Q: How does this course prepare me for using R professionally in marketing research?
This course equips you with the core skills needed for professional marketing analytics, covering key areas like data manipulation, statistical analysis, customer segmentation, and visualizing marketing data. These skills will prepare you for a wide range of applications in marketing research, customer insights, and analytics.
Submit your interest today !
