We hear you public health, and your stories matter to us.
We’ve heard your feedback about how recent funding cuts in public health have made it hard to invest in professional development. 💔 Your stories matter deeply to us, and they’ve inspired us to take action.
At One Life Epi Solutions, we believe learning new skills—like R—is a cornerstone of growth and resilience. To make this more accessible for everyone navigating tough times, we’re introducing two significant changes to our R training course:
1️⃣ Course Cost Cut in Half: From now through December 2026, we’re reducing the cost from $550 to $275. It’s our way of making learning more achievable for those who need it most. We’ve also added payment plans through Afterpay and Klarna to help spread out payments.
2️⃣ Sponsor Someone’s Learning: For every course registration purchased, we’ll donate a registration—for free. That means you can invite a colleague or sponsor someone whose career could truly benefit right now. Don’t have someone in mind? No problem—we have a waitlist of folks ready to seize this opportunity.
We know these are tough times for many in public health, and we want to be a source of support and empowerment, helping you—and the community around you—keep moving forward.
✨ Let’s learn, grow, and make a difference together. ✨
“As a previous Epidemiology Manager, this is the course I would have built for my team. Conversational and light-hearted, not too technical, hands-on, and it takes you very quickly from beginner to confident.”
- Dr. Ginger
Stop Feeling Overwhelmed by R Programming
Are you:
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Intimidated by the thought of learning R?
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Tired of dry, technical lectures?
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Frustrated by tutorials that move too quickly?
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Looking for explanations in plain language?
You’re not alone. Our course was built with you in mind.
Why Choose This Course?
Learn at Your Own Pace
No more fast-paced videos. Our step-by-step approach ensures you grasp every concept.
Practical, Real-World Skills
Move beyond theory with hands-on projects and supplemental case studies.
Recognized Achievement
Earn a Certificate of Completion to showcase your new skills.
Supportive Learning Environment
Join our private forum where instructors and peers help you succeed.
30-day guarantee
If you’ve completed all the sessions within 30 days and you’re not satisfied, we’ll give you a full refund!
Career Benefits & Opportunities
This course doesn't just teach R—it unlocks new career paths.
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Build job-ready data analysis skills using a tool trusted by epidemiologists, researchers, and data teams.
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Open doors to roles in research, public health, NGOs, and data-driven programs.
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Gain confidence to run your own analysis, build visualizations, and collaborate on real-world projects.
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Stand out with a project portfolio and a certificate that proves what you know.
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Learn by doing, using public health data and applied case studies.
What You’ll Learn
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Setting up and navigating R Studio Cloud
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Data importing, cleaning, and transformation
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Statistical analysis fundamentals
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Creating compelling visualizations
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Collaborative coding and project sharing
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Importing and using R packages
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Creating frequency and contingency tables
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Association measures (chi-square, odds ratios, risk ratios)
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Linear and logistic regression models
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Basic predictive modeling
Course Includes
Comprehensive video tutorials
Lifetime access to all course materials
Supplemental case studies
Lifetime forum support
Shareable team projects
Detailed Certificate of Completion from One Life Epi Solutions
What Makes This Course Different
Hosted on R Studio Cloud – a free, cloud-based platform (no software installation needed)
Built around mock public health data
Designed for practical coding, not heavy theory—resources are available to go deeper
Each video lesson comes with datasets and R scripts for hands-on learning
Beginner-friendly, with ongoing community support
Proven Impact, Powered by Partnership
“Great lecture. I am more of visual learner and will benefit from more pictorial depictions of concepts.”
— Itai Chitungo, Chief Scientist, University of Zimbabwe
“I loved how the video was clear and the resources which are well contented.”
— Aloyce Urassa, Co-Founder of Amplify Health and Development in Africa (ADHA), Chairperson of Youth Advisory Council, African Leaders Malaria Alliance (ALMA)
This team is really great for 4 reasons!
– Their training content is digestible for those who do not have a statistics background.
– They are patient and often pause to ensure everyone is still on the same wave length.
– Their presentation slides are clear and concise, allowing us to see the transition from one step/skill to the next—we can then see the micro and macro view of using R and its application in real-world case studies.
– They genuinely care and want to ensure you are able to grasp the content.
Highly recommend! Do not sleep on this team!
— MK
Ginger and Jennifer were a delight to work with. I highly recommend them for research consulting and training! I'm so glad to have met both of them.
— Dr. Maxwell
I always love working with Ginger. She is so knowledgeable about all things data and great at putting together visualizations that really showcase the information you want. She is continuously updating her skillset to reflect new analytic tools and trends, so she is always at the forefront of epidemiological methods. In addition, she is very personable and responsive, which is another reason I appreciate her. Extremely intelligent and data-savvy.
— Mercedeh Reamer, Senior Epidemiologist at Arizona Department of Health Services
Dr. Ginger Dixon, DrPH, MS
Epidemiologist | Educator | Consultant |
One Health Advocate
Contact
gdixon@onelifeepisolutions.com
Or message us via the chatbox in the bottom right corner.
About the Instructor
Dr. Ginger Dixon is the founder of One Life Epi Solutions and a recognized leader in epidemiology, data analysis, and One Health. Dr. Dixon has trained students and professional teams in R, Python, SAS, and other analysis tools. She has worked on innovative projects such as standardizing and merging multiple data sources in R for complex analysis, validating mosquito models using wavelet analysis in MatLab, conducting descriptive statistical analysis and creating regression models in Python, and automating database updates using survey data with R.
She regularly uses R to clean, analyze, and visualize data, and to support evidence-based decision-making. This course is built on her practical experience and is designed to help learners apply R to real-world public health and environmental challenges with clarity and confidence.
Frequently Asked Questions
Course Preview
Importing and Cleaning Data