Launching November • Monthly R Membership

CatalyZing R

Founders Launch — $39/mo (reg. $59). Weekly, applied R training that employers love: end-to-end workflows in Tidyverse, Shiny, and AI/LLMs—guided by Dr. Albert Rapp. New content drops to your account every week with repo code and pre-scaled GCP VMs.

Lock in Early-Bird: $39/mo   — limited founders rate
End-to-End Projects Production-grade Shiny LLM/RAG Patterns Persuasive Visualization Testing & Packaging GCP Deploys
Reserve Early-Bird — $39/mo See Founders Pricing

Founders rate locked for active members (regular $59/mo).

Dr. Albert Rapp headshot

Why Employers Want This Skillset

Hiring managers want analysts who can ship outcomes, not just run scripts. CatalyZing R trains you to take a problem from raw data → reproducible analysis → deployed app with clear visuals and (when helpful) LLM-powered features.

End-to-End Delivery

Go from wrangling to visualization to Shiny deployment—with CI-friendly structure and shareable outputs stakeholders can use.

Production Patterns

State-of-the-art workflows: testing, packaging, environment management, secrets, multi-env deploys—habits that make teams move faster.

LLM Superpowers

Use LLMs responsibly to summarize, search, and assist users (structured outputs, tool calling, RAG), with cost controls and safety.

Visual Storytelling

Build charts and dashboards that persuade—using ggplot2, gt/reactable, and clean design patterns hiring managers notice.

How the Membership Works

Momentum-friendly cadence. Zero setup friction. Outcomes you can show.

1 Weekly Drops

Two short, applied coding videos + repo code. One monthly case study ties it all together.

2 Pre-Scaled GCP VMs

Your environment is provisioned and versioned—renv locks included. No install hurdles.

3 End-to-End Focus

Real-world workflow: wrangle → model/LLM → viz → deploy → iterate. Ship what teams actually use.

4 Code-First, No Fluff

Screenshare + editor view, crisp explanations, practical tips you can put into production.

What You’ll Build Over Time

A rotating blend of foundational R + modern Shiny + pragmatic AI features—always state-of-the-art, always applied.

Tidy Data to Trust

  • Fast wrangling with dplyr & tidyr
  • Validation & light tests for reliability
  • Deliverable tables with gt / reactable

Persuasive Viz

  • ggplot2 patterns stakeholders “get”
  • Annotations, small multiples, themes
  • Story-driven charts that inform decisions

Shiny That Ships

  • Reactive design that scales
  • Modules, state, caching, async tasks
  • GCP deploys—auth, secrets, logging

LLMs the Right Way

  • Structured outputs (ellmer/chatlas)
  • Tool calling & retrieval-augmented workflows
  • Cost controls, evals, safety patterns

Production Patterns

  • renv locks per project
  • Configs for dev/stage/prod
  • CI habits & reproducibility

Domain-Flavored Demos

  • Sports analytics, operations, marketing
  • Data products stakeholders actually use
  • From prototype to “this is live”

Meet Your Instructor: Dr. Albert Rapp

Senior Consultant & Educator with a PhD in Mathematics (Ulm University). Albert designs production-grade analytics and teaches practical R at scale. He blends rigorous math with clear communication and modern engineering—so your work is not just correct, but adopted.

  • Industry: Senior Consultant at metafinanz (AI/ML with Python; AWS/Azure; R analytics & visualization).
  • Academia: Designed and taught full data science courses; led cohorts up to 100 learners; exam creation & proctoring.
  • Tooling: R/Tidyverse, Shiny, ggplot2, gt/reactable, Python, Git/GitHub, LaTeX, D3.js; web (HTML/CSS/JS).
  • Cloud: AWS & Azure experience; GCP deploy patterns for AthlyticZ members (auth, secrets, logging).
  • Quant roots: actuarial internships; statistical inference in heavy-tailed settings; thesis work on dependence structures.
Albert teaching session 1 Albert teaching session 2 Albert teaching session 3

What Happens After You Reserve

A clear path from preorder to your first weekly drop.

Instant Confirmation

You’ll receive an email confirming your founders rate and subscription details.

Biweekly Launch Updates

Before launch, we’ll send brief updates (every two weeks) so you know exactly what’s coming.

Accounts Created (T-2 Days)

Two days before launch, we create your AthlyticZ account. If you already have one, we add this membership to it automatically.

Day 0: Access Granted

On launch, your dashboard shows the first week’s videos, repo link, and your pre-scaled GCP VM allocation.

Every Monday & Thursday you’ll get an email + in-app notification when new content lands (Editor View + Screenshare).

▶ Example Month: Your Four-Week Journey Click to expand

You’ll receive an email + in-app notification every Monday (Editor View) and Thursday (Screenshare). Each week builds a portfolio artifact you can show in interviews and deploy on GCP.

Week 1 — Foundations that Scale

Drops: Mon & Thu
  • Learn: Clean project setup, renv for reproducibility, fast tidy pipelines, and sanity checks that prevent rework.
  • Build: A tidy data layer + QA table (gt/reactable) stakeholders understand at a glance.
  • Show your work: Repo with renv.lock and tags—easy to share during screening calls.
  • Why it matters to employers: Demonstrates reproducibility and professional habits from day one.
Video chapters: renv init • imports • joins • quick tests • base plots • small multiples • tables

Week 2 — Persuasive Visualization

Drops: Mon & Thu
  • Learn: Story-first charts with ggplot2—scales, annotations, and small multiples that explain decisions.
  • Build: A polished chart spec + Quarto mini-brief you can hand to non-technical stakeholders.
  • Show your work: Exported PNG/SVG assets and a shareable deck.
  • Why it matters to employers: Signals communication skills and product sense, not just code fluency.
Video chapters: theme system • annotations • layout grid • QA checklist • deck export

Week 3 — Shiny That Ships

Drops: Mon & Thu
  • Learn: Reactive design, modules, caching, testing server logic, and environment configs for deploys.
  • Build: A modular Shiny skeleton with logging and secrets—ready for cloud.
  • Show your work: Running app on your pre-scaled GCP VM with usage notes.
  • Why it matters to employers: Shows you can ship an internal tool that teams can actually use.
Video chapters: modules • state & cache • tests • env configs • auth • deploy manifest

Week 4 — Case Study: End-to-End Mini App

Drops: Mon & Thu
  • Learn: Tie the month together on a real dataset—ingest → validate → analyze → viz → (optional) LLM feature → deploy.
  • Build: A small, useful Shiny app with a clear user story and cost-aware LLM add-on.
  • Show your work: Live URL + repo + short README you can add to your portfolio.
  • Why it matters to employers: Concrete evidence you can deliver end-to-end outcomes under realistic constraints.
Video chapters: schema • targets • viz polish • structured outputs • final deploy & checks

Every drop includes updated repo code and a fresh renv.lock. Your VM image matches the month’s environment so you can run immediately.

Founders Pricing (Limited)

Lock in your rate before launch. You’ll get weekly drops, repo code, and pre-scaled VMs—plus access to the backlog as it grows.

Founders Monthly

$39/mo$59
  • Weekly content drops + repo code
  • Pre-scaled GCP VMs (no setup)
  • Backlog access while active
  • Founders rate lock
Reserve My Founders Rate

Renews monthly. Cancel anytime. This Preorder is a one-time payment that will NOT renew until two (2) months after release.

6-Month Prepay

$199$354
  • Everything in Monthly
  • Save more up front
  • Perfect for hiring season
Prepay 6 Months

Equivalent ~$33/mo. Converts to founders monthly after term. This Preorder is a one-time payment that will NOT renew until six (6) months after release.

When do lessons start?

We launch in November. Reserve now to lock your rate; drops begin right after launch, weekly.

Do I need to configure anything?

Nope. Your environments are provisioned on GCP—renv locks and repos are ready to run.

Is this beginner-friendly?

Yes. It’s designed for intro students who want applied skills that stack into production-ready habits.

Already comfy with R?

You’ll love the state-of-the-art patterns (modules, async, LLM tool calling/RAG, deploys) and monthly case studies.

© AthlyticZ — CatalyZing R. Weekly applied R training with Dr. Albert Rapp.

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