Part of the AthlytiZ Pro Series

Breezing Through the Tidyverse

Jumpstart Your R Skills with Sports-Based Examples

Learn R programming with Dr. Paul Sabin, data science expert. This course is designed for professionals across all industries who want to accelerate their coding journey in R—using practical, sports-based examples to make concepts stick. From data wrangling to visualization, you’ll master the Tidyverse and gain the confidence to apply R to real-world problems.

Start Today for $39 View Syllabus

Data wrangling dplyr pipelines ggplot2 tidyr readr Sports analytics

What You’ll Explore

Learn employer-ready R skills—directly from Dr. Paul Sabin. Every module pairs tidyverse techniques with practical sports-based examples so concepts stick and translate to real projects fast.

Data Wrangling & Pipelines

Master dplyr, tidyr, joins, reshaping, and rock-solid pipelines that scale from notebooks to production.

Visualization that Persuades

Tell clear stories with ggplot2—themes, design patterns, and publication-quality graphics.

Reproducible Reporting

Use Quarto to turn analysis into shareable dashboards & reports stakeholders actually read.

Real Sports Analytics

Apply skills on NFL/NBA/MLB-style data so your portfolio shows credible, domain-savvy work.

Preview Paul Building Quarto Reports for NFL Draft Data

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Start Today for Just $39

Enroll Now

Jumpstart Your R Skills with Sports-Based Examples.

Learn employer-ready tidyverse workflows with Dr. Paul Sabin—from data wrangling to Quarto reporting. Build a portfolio that translates across industries.

Enroll Today View Syllabus

Lifetime access Project-based lessons Reproducible Quarto reports Employer-ready portfolio

Your Data Science Coach for Breezing Through the Tidyverse

DR. PAUL SABIN

Paul is a Senior Fellow at The Wharton Sports Analytics & Business Initiative and a Lecturer in the Department of Statistics & Data Science at The Wharton School of the University of Pennsylvania. He brings deep experience in sports analytics and data science to our BreeZing Through the Tidyverse course.

With a PhD in statistics from Virginia Tech and professional work spanning organizations like ESPN and SumerSports, Paul has created innovative metrics, built analytics for real-world decision making, and consulted for professional teams and media leaders. His teaching bridges academic rigor with practical, employer-ready skills.

In this course, you’ll learn to think and code the tidy way—wrangling data, building pipelines, visualizing insights, and crafting reproducible Quarto reports—so you can confidently apply R across industries.

Join Paul and jumpstart your R programming journey with the tidyverse—and turn practical, sports-based examples into a portfolio that translates to any domain.

What Experts Say About Paul

Paul is a master data scientist and R programmer, as well as an experienced collegiate instructor. I've had the pleasure of working alongside him for many years, and the modeling and coding tips he's taught me and the rest of our team are too numerous to count. Paul is my “go-to” for help, and his valuable instruction was essential to the success of my most recent major project.

Brian Burke

Sports Data Scientist, ESPN Analytics
“Godfather” of NFL Analytics

Working with Paul was a deeply rewarding journey into the nuances of data science and sports analytics. His extensive expertise in R and the Tidyverse is notable, as is his skill in making complex ideas both accessible and relevant. Paul's enthusiasm for applying data science within sports not only showcased his substantial knowledge in the field but also highlighted his talent for inspiring and engaging others. His guidance was pivotal in enabling me to bridge the gap between theoretical knowledge and practical insights, and I am very thankful for his mentorship.

Adam Vonder Haar

Director of Football Analytics, SumerSports
Former Analyst, Dallas Cowboys

Take the Next Step in Your Data Science Career

Learn R the way employers want to see it: clean, reproducible, and applied to real-world problems. With Dr. Paul Sabin as your guide, you’ll master the Tidyverse, sharpen your coding skills, and gain practical expertise that translates across industries—from sports to business and beyond.

Enroll Today • Lifetime Access

What You’ll Learn

Explore advanced R programming techniques in the Tidyverse while building portfolio projects employers value.

Mastering Data Exploration & Manipulation

✓ Work with R’s unique data types and tidy structures
✓ Best practices in coding style, piping, pivoting & joins
✓ Avoid conflicts & streamline assignments in real datasets

Leveraging Loops, Functions & Logic

✓ Build reusable functions and vectorized operations
✓ Apply conditional logic with if_else and case_when
✓ Use probability distributions for simulations & insights

Advanced Wrangling & Visualization

✓ Tidyselect, group_by, summarize & mutate workflows
✓ Professional visualizations with ggplot2
✓ Customize plots for presentations & reports

Effective Communication & Deployment

✓ Build Quarto reports & deploy polished deliverables
✓ Streamline with RStudio shortcuts and workflow tips
✓ Communicate insights for stakeholders across industries

Designed for professionals in sports, business, healthcare, and beyond: this course equips you to create production-ready R portfolio projects that demonstrate applied skills employers are actively seeking.

Course Overview

Dive into an immersive curriculum that takes you from fundamentals to advanced Tidyverse workflows. Each module is designed not only to teach you how to code in R, but to help you build production-ready portfolio projects that employers across industries value.

Foundations of the Tidyverse

✓ Data types, structures, and assignments
✓ Reading and cleaning raw datasets
✓ Building a clean R coding style

Data Wrangling & Transformation

✓ select, filter, mutate, group_by, summarize
✓ Pivoting, nesting, joins, and tidy data principles
✓ Preparing messy, real-world datasets for analysis

Loops, Functions & Logic

✓ Mastering for/while loops and vectorization
✓ Writing custom functions for reusability
✓ Applying probability and conditional logic

Visualization & Communication

✓ ggplot2: from exploratory plots to custom themes
✓ Communicating results with Quarto reports
✓ Polished outputs for resumes and stakeholders

Advanced Tidyverse Techniques

✓ Factors, strings, dates, lubridate, and stringr
✓ Simulation, parallel computing, and Rcpp basics
✓ Project workflows that scale to production

By the end of this course, you’ll have a portfolio of R projects that demonstrate your ability to transform, analyze, and visualize real-world data — skills employers are actively hiring for.

How We Conduct Our Course

At AthlyticZ, we’ve designed our course framework to empower your learning journey at your own pace—blending flexibility, rigor, and real-world application.

Prerecorded Video Lessons

Learn at your own pace with a full library of high-quality video lectures you can revisit anytime.

Assignments & Exercises

Reinforce core concepts with practical assignments that turn theory into working R code.

Continuous Assessment

Stay on track with integrated quizzes and feedback that measure your progress throughout.

Hands-On Projects

Work towards portfolio-ready projects, such as building an NFL Draft model with Dr. Sabin.

Supplementary Resources

Download slides, readings, and curated resources to deepen your learning experience.

Interactive Features

Engage with custom-built IDEs, preloaded code, and interactive labs for a true hands-on journey.

Embark on your data science journey with AthlyticZ and unlock the full potential of sports analytics in a supportive, production-driven environment.

What Industry Experts Are Saying

Hear from leading voices in sports analytics about the impact of learning with AthlyticZ.

"Here's your chance to learn future sports data gurus!"

"AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The course structure is intuitive, the content is comprehensive, the instructors are the best of the best, and the practical projects have immediate impact to students."

Bill Geivett, M.Ed.
President @ IMA Team • Author of Do You Want to Work in Baseball?
Sr. VP: Colorado Rockies (2001–2014) • Asst. GM: LA Dodgers (1998–2000)

"Empowering and Engaging"

"I've always been intrigued by the intersection of sports analytics and data science. AthlyticZ provides students with the perfect platform to explore this passion. The hands-on projects are particularly empowering, allowing them to apply theoretical concepts to real-world scenarios."

Brad Smith, PhD
Senior Performance Analyst @ Univ. of Nebraska • Sports Analytics Professor, Northwestern
Player Development Analyst, NY Yankees (2018–2021)

Enroll Today — Learn from Paul Sabin

Frequently Asked Questions

Answers to common questions about BreeZing Through the Tidyverse

1. Can I expense this course with my employer?

How Your Company Benefits:

Streamline Data Analysis: Equip your team with advanced R skills to accelerate insights.
Optimize Workflows: Tailored post-processing pipelines reduce manual effort.
Cost-Efficient Solutions: Save on software by leveraging open-source R tools.
Empower Growth: Drive business success with modern data science skills.

2. Do I need access to any commercial software?

No, you won’t need any commercial software for this course. Everything is built on open-source tools.

3. Does the course assume extensive knowledge of R?

No — this is an introductory course designed to jumpstart your R and data science journey.

4. Is the course graded? What defines successful completion?

Success is based on completion, not perfection:

Score 80%+ on quizzes
Complete 100% of modules

Upon meeting these, you’ll earn a certificate of completion.

5. What if I need to drop out? Is there a refund policy?

We’re committed to your success. Our refund policy:

Full refund within 3 days of start.
No refunds if 25%+ of material is completed.

Thank you for choosing AthlyticZ.

Enroll in BreeZing Through the Tidyverse Today

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