RFM124

Data Science/Big Data Data Science Data Analytics

R Programming for Marketing Research and Analytics Course

Q: What will I learn in this R for Marketing Research and Analytics course?

You will master R programming for marketing data analysis, including loading, saving, and visualizing marketing data, performing regression analysis on real-world scenarios, executing statistical distribution functions and linear algebra operations, creating compelling visualizations with lattice and ggplot2, investigating relationships between variables using correlation tests and scatterplots, and applying advanced visualization techniques to explore consumer segment data associations.

Q: What are the prerequisites for this course?

This is a beginner-level course requiring a graduate-level qualification. While no prior R programming experience is necessary, basic understanding of statistics and data analysis concepts would be beneficial. The course is designed for entry-level professionals, engineers, and mid to senior-level managers looking to enhance their marketing analytics skills.

Q: How does R compare to other programming languages like SAS and Python for marketing research?

The course specifically covers the advantages of using R over other languages like SAS and Python for marketing research and analytics. You'll learn when and why to choose R for your data analysis needs, understanding its unique strengths in statistical analysis, data visualization, and marketing-specific applications.

Q: What type of hands-on experience will I get during this 1-day course?

You'll engage in practical learning through lectures, case studies, hands-on labs, group discussions, and Q&A sessions. The course includes real-world examples such as analyzing exam grades through regression analysis, simulating various datasets, and working with actual consumer segment data to practice summarization and visualization techniques.

Q: What data structures and analytical techniques will I master in R?

You'll become proficient in handling different R data structures including vectors, matrices, arrays, lists, and data frames. You'll learn operations on these structures, accessing their elements, applying functions, and performing statistical analysis. The course also covers advanced visualization methods including jitter plots and polychoric analysis for exploring data associations.

Q: Will I receive a certification upon completing this course?

No, this course does not offer a certification. However, you will gain comprehensive practical skills in R programming for marketing research and analytics that you can immediately apply in your professional work, making you proficient in analyzing complex marketing datasets and creating compelling visualizations.

Q: What specific marketing analytics skills will I develop?

You'll develop specialized marketing analytics skills including segmenting consumer data for descriptive insights, uncovering associations within marketing data using advanced visualization techniques, performing correlation testing between continuous variables, creating professional visualizations for marketing presentations, and interpreting real-world marketing scenarios through regression analysis.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Master market research analytics using R programming language with our tailored training program. Become adept at analyzing complex datasets, creating compelling visualizations, and unveiling key insights through hands-on experience.

Available in:
Malaysia

Face-to-Face Jul 27-28, 2026 9:00 AM - 5:00 PM Yip Siow Hui

Created: December 22nd 2020, 5:04 PM MYT Last Modified: July 17th 2026, 6:01 AM MYT

updated

beginner

We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 5200 ++

Features

2 days

16 modules

4 intakes

English

Technical: 25 pax

Target Audience

students

engineers

managers

executives

Methodologies

lecture

slides

labs

case studies

group discussion

q&A

Subsidies

What you'll learn

Master loading, saving, visualizing, and analyzing marketing data
Execute statistical distribution functions and linear algebra operations in R
Understand the advantages of using R over other languages like SAS and Python
Simulate datasets to practice summarization and visualization techniques
Perform regression analysis to interpret real-world marketing scenarios
Investigate relationships between continuous variables using scatterplots and correlation tests
Learn to manipulate basic objects, data frames, vectors, matrices, and arrays
Apply advanced visualization methods to explore associations in consumer segment data

Why should you attend?

Dive into the dynamic world of marketing research and analytics with our in-depth R programming course. This course is meticulously structured to cover a broad spectrum of topics, starting with an introduction to R and its comparison with other popular languages like SAS and Python. You'll gain insight into when and why to use R for your data analysis needs. As you progress, you'll learn about basic objects, data frames, and how to load, save, and visualize data effectively. The course will guide you through the essentials of regression analysis using real-world examples such as exam grades. You'll become proficient in handling different data structures in R, including vectors, matrices, arrays, lists, and data frames. Operations on these structures are explored along with accessing their elements and applying functions. Statistical analysis takes a front seat as you delve into functions for statistical distributions and linear algebra operations that are crucial for crunching numbers efficiently. The latter part of the course emphasizes practical data analysis skills. You'll simulate various datasets and summarize variables, learning to create compelling visualizations with tools like lattice and ggplot2. Additionally, you'll explore relationships between continuous variables through correlation testing and scatterplots. Finally, the course teaches you how to uncover associations within data using advanced visualization techniques such as jitter plots and polychoric analysis while segmenting consumer data for descriptive insights.

Course Syllabus

Day 1 - R Fundamentals and Visualization

Module 1

Module 2

Short Break

15 mins

Module 3

Module 4

Recap and Q&A

15 mins

Lunch

1 hour

Module 5

Module 6

Short Break

15 mins

Module 7

Module 8

Recap and Q&A

15 mins

End of Day 1

Day 2 - Statistical Analysis and Segmentation

Module 9

Module 10

Short Break

15 mins

Module 11

Module 12

Recap and Q&A

15 mins

Lunch

1 hour

Module 13

Module 14

Short Break

15 mins

Module 15

Module 16

Recap and Q&A

15 mins

End of Day 2

Ratings and Reviews

( 3 ratings )

100%

( 3 reviews )

Instructor

Yip Siow Hui Wellness Training Specialist

Trainer Profile

TTT Certificate

TTT Accreditation

Mindi Yip Siow Hui is a distinguished wellness trainer with over 20 years of professional experience spanning product development, market research, and consumer insight. Her extensive career has provided her with profound expertise in understanding how wellness initiatives directly impact employee capability, retention rates, and customer trust within organizational settings. As the creator of the MINDiLEAF™ 8-Dimensional Wellness Framework, Mindi has developed a comprehensive holistic model that addresses Physical, Emotional, Mental, Social, Environmental, Occupational, Financial, and Life-Purpose dimensions of well-being. This innovative framework represents her commitment to delivering evidence-based, results-driven wellness programs that are firmly grounded in real-world application. Her approach uniquely combines scientific knowledge with practical wellness techniques, ensuring that participants receive training that translates directly into measurable improvements in their personal and professional lives. Mindi holds an impressive array of professional certifications that underscore her expertise and commitment to excellence. She is a Certified Professional Trainer by IPMA, ensuring adherence to international training standards. Her TTT Certification and HRD Corp accreditation demonstrate her capability to design and deliver programs specifically tailored for corporate environments. As a Certified EQi 2.0 and EQi 360 Practitioner, she brings specialized expertise in emotional intelligence assessments, supporting leadership development and personal growth initiatives. Her certification as an NS-NLP Practitioner enables her to leverage Neuro-Linguistic Programming techniques to enhance communication skills and facilitate positive mindset shifts among participants. Beyond traditional training methodologies, Mindi incorporates innovative therapeutic approaches into her wellness programs. As a Certified Sound Healing Therapist, she utilizes sound therapy to promote relaxation and emotional balance. Her proficiency as an OH Card Practitioner allows her to employ creative tools that access the subconscious mind, fostering deeper self-reflection and emotional growth among participants. This multifaceted approach ensures that her training programs address wellness from multiple angles, creating lasting transformation for individuals and organizations alike.

8 Courses

English, Chinese

20 Years

( 0 ratings )

( 0 reviews )

Course Reviews

"The best trainer I've ever had because it's the first time I've gotten a lot of experiences from someone who is really good in their field, sharing a lot of his experiences and also teaching us how we see the world and how to interpret it from our perspective."

"I love the way the trainer taught us, i feel grateful been taught in right hand and an experts in his field. The course is really good, class, colleagues and many access to some resources."

"What i like fro taking this course are they provided us e-book, study cases, lab activities and problem solvings. I am looking for another course to attend."

FAQ

Frequently Asked Questions About This Course

What will I learn in this R for Marketing Research and Analytics course?

What are the prerequisites for this course?

How does R compare to other programming languages like SAS and Python for marketing research?

What type of hands-on experience will I get during this 1-day course?

What data structures and analytical techniques will I master in R?

Will I receive a certification upon completing this course?

What specific marketing analytics skills will I develop?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Master loading, saving, visualizing, and analyzing marketing data
Execute statistical distribution functions and linear algebra operations in R
Understand the advantages of using R over other languages like SAS and Python
Simulate datasets to practice summarization and visualization techniques
Perform regression analysis to interpret real-world marketing scenarios
Investigate relationships between continuous variables using scatterplots and correlation tests
Learn to manipulate basic objects, data frames, vectors, matrices, and arrays
Apply advanced visualization methods to explore associations in consumer segment data

Course Syllabus

Day 1 - R Fundamentals and Visualization

Module 1

Module 2

Short Break

15 mins

Module 3

Module 4

Recap and Q&A

15 mins

Lunch

1 hour

Module 5

Module 6

Short Break

15 mins

Module 7

Module 8

Recap and Q&A

15 mins

End of Day 1

Day 2 - Statistical Analysis and Segmentation

Module 9

Module 10

Short Break

15 mins

Module 11

Module 12

Recap and Q&A

15 mins

Lunch

1 hour

Module 13

Module 14

Short Break

15 mins

Module 15

Module 16

Recap and Q&A

15 mins

End of Day 2

Course Reviews

"I love the way the trainer taught us, i feel grateful been taught in right hand and an experts in his field. The course is really good, class, colleagues and many access to some resources."

"What i like fro taking this course are they provided us e-book, study cases, lab activities and problem solvings. I am looking for another course to attend."

We price match