BreeZing Through the Tidyverse

Jumpstart Your R Skills with Sports-Based Examples

Explore the fundamentals of R programming through sports analytics in our BreeZing Through the Tidyverse course. Master essential concepts and techniques to enhance your data analysis capabilities and accelerate your programming journey.

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What You'll Explore

Master R's unique data types and data exploration techniques

Develop tidy coding styles and workflows

Utilize advanced data wrangling, visualization, and simulation methods

Jumpstart Your R Skills with Sports-Based Examples.

Enroll today and breeze through the Tidyverse with our comprehensive course materials!

Your Data Science Coach for BreeZing Through the Tidyverse

passionate about empowering others to leverage data effectively

Dr. Paul Sabin

As a Senior Fellow at The Wharton Sports Analytics & Business Initiative and a Lecturer in the Department of Statistics and Data Science at The Wharton School of The University of Pennsylvania, I bring a wealth of experience in sports analytics and data science to our BreeZing Through the Tidyverse course.

My educational background in statistics and French, along with extensive professional experience in sports analytics at organizations like ESPN and SumerSports, has equipped me with the skills and knowledge to guide you through mastering R's Tidyverse packages.

I'm passionate about empowering others to leverage data effectively, just as I have done throughout my career in creating innovative metrics and analytics for various sports. With a PhD in statistics from Virginia Tech and a track record of consulting for professional sports teams and media giants like ESPN, I'm excited to embark on this Tidyverse journey with you.

Join me in unlocking the power of R's Tidyverse packages and elevating your data analysis skills to new heights!

Testimonials

what they say

Brian Burke

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

“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.”

Erik Larsson

Former student & Green Bay Packers Analytics Staffer

“Dr. Sabin's teaching brings challenging technical material to life through the use of accessible examples related to sports. The experience I gained in his Sports Research course at Virginia Tech was instrumental in landing my first job in the sports analytics industry. I would highly recommend this course to aspiring sports analytics professionals looking to bolster their R programming skills.”

Adam Vonder Haar

Director of Football Analytics at SumerSports & former football research analyst at the Dallas Cowboys

“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.”

Scott Nestler, PhD, CAP, PStat

Adjunct Professor at Notre Dame & Co-Author of Mathletics

“Dr. Paul Sabin is an expert in the field of sports analytics, harnessing the power of Bayesian statistical modeling to extract deep insights from sports data. As a repeat guest speaker in my Sports Analytics class at Notre Dame, he has demonstrated an exceptional ability to engage and inspire students with his in-depth knowledge and practical examples from his experience as a practitioner. Paul's ability to convey complex concepts with clarity and enthusiasm, coupled with his data science expertise in R,  ensures that his course offerings are an invaluable resource for learners at any level.”

Enroll in BreeZing Through the Tidyverse today to master R's Tidyverse packages and elevate your data analysis skills

What You'll Learn

Explore Advanced R Programming Techniques

In this course, you'll delve into essential techniques and concepts relevant to mastering R's Tidyverse packages, including:

Mastering Data Exploration & Manipulation

  • Dive deep into exploring and manipulating data using R's unique data types and structures. Learn how to read in data effectively, use piping for data summaries, and handle data assignments to avoid conflicts.

  • Enhancing Coding Style and Tidy Workflow

  • Explore coding style best practices, including spaces, indentation, and pivot operations like pivot longer and pivot wider. Learn about nested data structures and how to work with tidy data principles for efficient data handling.

Leveraging Loops, Functions, and Logic

  • Master loop structures like for and while loops, along with vectorization techniques.

  • Dive into conditional statements like if, ifelse, and case_when for effective logic implementation.

  • Understand probability distribution functions and develop custom functions for data analysis.

Advanced Data Wrangling and Visualization

  • Discover advanced data wrangling techniques using select, group_by, summarize, and mutate functions.

  • Learn about tidyselect and across for efficient data manipulation. Explore base R plots, ggplot2 for data visualization, and customizing themes and colors for impactful visualizations.

Harnessing Simulation, Strings, and Dates

  • Learn about setting up simulations, working with data tables, and using string manipulation functions like stringr and regular expressions.

  • Understand date/time operations using lubridate and explore joins, purrr for mapping, splitting, and modeling data.

Effective Communication and Deployment

  • Discover RStudio shortcuts for efficient coding and data analysis. Explore data visualization techniques, customizing plots, and using team logos and colors for engaging visualizations.

  • Learn about effective communication using Quarto and deploying R projects for sharing insights.

Join the BreeZing Through the Tidyverse Course

Are you prepared to elevate your R programming skills and dive deep into the world of Tidyverse packages? Enroll in the BreeZing Through the Tidyverse course today and unlock the full potential of data analysis with R!

Course Overview

Dive into our comprehensive course designed to lay the foundational knowledge required to excel in the world of data science. Explore fundamental concepts and techniques essential for mastering statistical modeling, data manipulation, and inference. Join us in this immersive journey and unlock the power of data science!

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BreeZing Through the Tidyverse Fundamentals Modules

Introduction to the Tidyverse

  • Explore the essentials of the Tidyverse packages and their role in efficient data manipulation.

Data Exploration

  • Dive into R's unique data types, data structures, reading data, and summarizing data using pipes.

Basics of R Coding

  • Learn about assigning values in R, calling functions, vector operations, sequences, and basic coding style.

Tidy Workflow and Coding Style

  • Understand coding style, pivot functions, nested data handling, and tidy data principles.

Loops and Vectorization

  • Master for and while loops, vectorization, and efficient coding techniques.

Functions and Logic

  • Dive into conditional statements, probability distributions, writing functions, and logical operations.

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Advanced Tidyverse Techniques Modules

Data Wrangling

  • Learn advanced data manipulation techniques like select, group_by, summarize, filter, mutate, tidyselect, and across.

Data Visualization

  • Explore base R plots, ggplot2 for scatter plots, histograms, densities, 2D densities, and customizing themes.

Factors, Strings, and Dates

  • Understand factors, strings, regular expressions, dates, lubridate, and data joins.

Simulation and Advanced Techniques

  • Explore simulation setup, data.table operations, foreach loops, Rcpp, and parallel computing.

Advanced Data Analysis

  • Learn about data splitting, modeling, Quarto for communication, and advanced data analysis method

How We Conduct Our Course

At AthlyticZ, we've designed our course structure to empower your learning journey at your own pace, ensuring flexibility and accessibility.

Prerecorded Video Lessons

Delve into our comprehensive course content with prerecorded video lessons, allowing you to learn at your convenience and revisit concepts as needed.

Assignments and Exercises

Engage with assignments and exercises that reinforce your understanding of key concepts and help you build practical skills.

Continuous Assessment

Benefit from quizzes and assessments integrated throughout the course, providing you with ongoing feedback on your progress and understanding.

Hands-On Projects

Apply your knowledge to real-world projects, including both minor and major assignments, where you'll work towards building an NFL Draft model with Dr. Sabin.

Supplementary Resources

Access a wealth of supplementary resources such as readings, downloadable slides, and personalized tutorials tailored to your interests, enriching your learning experience.

Interactive Features

Utilize interactive features within each lesson, including note-taking capabilities and custom-built IDEs with preloaded code, ensuring an immersive and engaging learning environment.

Embark on your data science journey with AthlyticZ and unlock the full potential of sports analytics in a dynamic and supportive learning environment.

What Industry Experts Are Saying

Discover what industry experts have to say about their experience 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: Do you want to work in Baseball?

Sr. VP: Colorado Rockies 2001-2014

Asst. GM: Los angeles 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 @ University of Nebraska

Sports analytics professor, Data Science Program @ Northwestern

Player Development Analyst @ New york yankees 2018-2021

breezing through the tidyverse course

Course Information

  • 100+ Lessons of engaging content

  • Asynchronous, self-paced learning

  • Pre-recorded video lessons for flexible scheduling

  • Interactive Features: 50+ Coding Reviews and 25+ Quizzes throughout the course to reinforce learning

  • Supplementary Resources: Access to downloadable slides, readings, and additional materials

  • Hands-On Projects: Dive into an NFL draft model case study

  • Virtual Machines: 100+ R Scripts! Immerse yourself in our customized IDE solutions for real world programming experience.

$599 usd

$349 usd

Frequently Asked Questions

1. Can I expense this course with my employer?

How Your Company Benefits

Discover the transformative power of BreeZing Through the Tidyverse. Here's how your employer can leverage our course:

  • Streamline Data Analysis: Equip your team with advanced R skills to streamline data analysis processes, leading to faster insights and informed decision-making.

  • Optimize Workflows: Create customized post-processing workflows tailored to your company's needs, optimizing efficiency and reducing manual data manipulation tasks.

  • Cost-Efficient Solutions: Save on commercial software expenses by utilizing open-source R packages and tools for comprehensive data analysis and visualization.

  • Empower your team to excel in data analysis and drive business growth with our comprehensive BreeZing Through the Tidyverse course.

2. Do I need access to any commercial software?

No, you won't need any commercial software for this course.

3. Does the course assume extensive knowledge of R?

No - this is an introductory course to jumpstart your data science journey.

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

Evaluation is based on the completion of course work rather than "correct answers." Successful completion entails:

  • 80% or higher on all quizzes

  • 100% of modules completed

Upon meeting these criteria, you'll receive a certificate of completion.

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

At AthlyticZ, we're committed to your success and satisfaction throughout your learning journey.

Our refund policy is as follows:

  • You can drop the course within 3 days of commencement for a full refund. After this date, refunds are not provided.

  • No refunds will be granted if you have completed 25% or more of the course material, regardless of the time elapsed since the course began.

    Thank you for choosing AthlyticZ for your educational needs.

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