🎉 NEW COURSE! Data Analysis With R-20% DISCOUNT until Feb 15. Discount is automatically applied at checkout.
🎉 NEW COURSE! Data Analysis With R-20% DISCOUNT until Feb 15. Discount is automatically applied at checkout.
A comprehensive online program that teaches you how to use the R programming language to generate actionable and insightful data analyses. No prior programming knowledge required!
Learn how senior analysts turn messy data into clear, defensible decision frameworks. Help leaders decide where to invest, what to stop, and what to postpone.
If you work in digital analytics or marketing, you know the feeling of being surrounded by data but still struggling to influence real decisions. Data collection slowly becomes the goal instead of the means, with endless conversations about tracking coverage, CDPs, and dashboards, while the actual business questions remain vague or untouched.
Metrics get reported because they exist, not because they matter, and reports are delivered, politely acknowledged, and quietly forgotten. You do your job well, yet the work rarely leads to action, confidence, or clarity.
This course is built for people who are tired of that cycle and want their analysis to matter again. It helps you step back from tools and outputs and refocus on framing the right questions, connecting data to decisions, and communicating insights people can trust and act on.
Instead of producing more dashboards or cleaner pipelines that lead nowhere, you’ll learn how to turn messy, imperfect data into meaningful guidance that influences stakeholders and drives change.
If you want your work to move beyond reporting and start shaping real decisions, this is where to begin. Enroll today and move from reporting to decision-making.
You already work with digital, marketing, or product data and are expected to explain what it means.
You can pull data, build dashboards, or write queries.
You want to be involved earlier, when problems are framed, not later, when numbers are requested.
You need to justify why a metric was chosen, not just show its value.
You are looking for just a beginner programming course.
You want predefined answers instead of analytical reasoning.
You prefer tools to make decisions for you.
This is not just a course on R syntax. R is the environment we use to make analytical reasoning explicit, auditable, and reproducible. You will learn to clean, transform, and visualize data using the Tidyverse, but always in service of a concrete analytical problem, not isolated techniques.
You will apply these principles to a real-world dataset from a live digital property: Simo Ahava’s blog. The data is intentionally imperfect. You will work with sampled data, bot traffic, and missing signals, just as you would in a real analysis. While the examples come from content analysis, the underlying principles can applied to e-commerce, advertising, and B2B use cases.
In the course, you will learn to:
This workflow ensures that every assumption, from data cleaning to final visualization, is explicit, auditable, and reproducible.
The course culminates in a simulated review with Simo Ahava, where you learn to defend your metric choices and justify your analytical logic under professional scrutiny.
You will use real data from Simo Ahava’s blog when performing the analysis steps in the course. The questions for which you seek answers are all real problems that affect bloggers everywhere.
The course is self-paced, and you can take it at your own leisure. The individual topics always contain text content to help flesh out the concepts. There are illustrations, links, and tips to help you understand more about the topic.
The goal of the course is not to produce charts; the goal is to reduce uncertainty. You will leave with a repeatable workflow for framing questions, defining metrics, and defending conclusions, one you can apply immediately to your own analyses and stakeholder discussions.
The course has three quizzes and a final quiz to test your progress. The quizzes have been designed so that they do not impede your progression through the course.
Once you complete all course content, you will receive a certificate, which you can proudly share on social media and in your professional profiles.
As with all Simmer courses, you’ll receive lifetime access to the content and the Simmer Community upon enrollment.
Success Stories
“One of our most impactful collaborations was the development of the Budget Pacer. Arben was the visionary behind the logic, conceptualizing a sophisticated system to control runaway ad spend and automate daily monitoring across all our clients.
Beyond budget management, Arben’s ingenuity led us to develop an R-based search term automation script. He identified the opportunity to programmatically iterate through all agency clients to identify poorly performing search terms and instantly convert them into negative keyword ideas. This level of automation has saved our team countless hours and significantly improved ROI for our clients.
Arben isn’t just a programmer; he is a strategist who understands the ‘why’ behind the code. His ideas bridge the gap between technical data science and practical marketing execution. If you are looking to move beyond basic digital marketing and want to learn how to build high-level, automated systems that drive genuine business results, Arben’s guidance is, quite simply, the gold standard.“
Casper Crause
Data Engineer @ comtogether
Meet Your Expert Instructor
I started my career in digital marketing and gradually moved into digital analytics, using R throughout that transition to solve concrete business problems rather than produce reports.
Early in my career, I used R to work on marketing challenges such as analyzing how external factors affected sales, reallocating budgets across campaigns, and automating campaign creation, including projects that led to substantial improvements in return on ad spend and reduced manual workload.
Today, I work as a Digital Analyst in the insurance industry, where I use R and BigQuery daily to analyze customer journeys, evaluate experiments, model efficiency and price sensitivity, and support decision making across teams.
My work has been featured multiple times on Simo Ahava’s blog, where I have written articles on using GA4, BigQuery, and R to answer real analytical questions.
We are honored to train employees from companies such as these
If you watch the videos at normal speed and read everything there is to read, you will get through all the content in roughly 20 hours.
Once you enroll, you will get your Simmer login credentials that will let you access the course content. Shortly after, you’ll receive an email with your onboarding package.
You’ll also receive an invite to the Simmer Community and lifetime access to everything listed above.
Just that. Unless you specifically ask us to, we will not remove your access to the course content or to the Simmer Community.
You will also stay on the course email list, which we will never, ever use for marketing purposes. It is solely for distributing useful information about the course.
Nothing. Nada. Zilch. This course is designed to teach you everything you need to know.Â
You don’t need to know anything about GA4.
While this course analyzes data generated by GA4, the concepts and approaches are universal and would work against any behavioral dataset.
We offer a full refund, no questions asked, if you request it within 30 days of your purchase and if you’ve got 100% completion of the course content. We really want you to give it your best shot – we are absolutely positive that you will find the course useful and the learning curve manageable.
