Coursera

Player Evaluation, Team Performance and Roster Management (Coursera)

Offered by The State University of New York,
Player Evaluation, Team Performance and Roster Management (Coursera)

This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management. The primary focus is on the use of data analysis in player acquisition and retention, as well as player and coach assessment. Students will learn how the collective bargaining agreement (CBA) and standard player contract (SPC) provide the framework for management decisions in which data analysis play a pivotal role.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

There is a focus on data science techniques as applied to sports datasets. Students will interpret outcomes of data analysis within the context of a sports calendar; identify provisions of the CBA and SPC; and gain an understanding of how the provisions impact decisions on team and roster management.

Syllabus

WEEK 1
Management’s Critical Dates 12-month Calendar Overview & Downloading RStudio
This module will cover the significance of each segment of a full-year sports calendar, including critical dates and key management activities in each part of the calendar.

WEEK 2
Training Camp and Roster Building
This module covers pre-season to early season activities, including drafting, reserve and depth chart analysis and the importance of player contracts. It also introduces the basics of linear algebra.

WEEK 3
Scouting, Roster Evaluation and Preparing for the Trade Deadline
This section focuses on the impacts of CBA & SPC on roster decisions. In addition, it reviews the rules and regulations management follows when making roster/team changes and how clustering is used as a data analytics tool.

WEEK 4
The Entry Draft, Free Agency & Assessing the Future
The focus of this section is on activities occurring in the spring, including the entry draft, free agency and considering the future state of an athletic team.

WEEK 5
The Offseason
This section focuses on the activities preceding a regular athletic season, including those performed by management, staff, medical personnel, and players.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Liderar equipes (Coursera) Coursera
University of Michigan

Liderar equipes (Coursera)

Business

Neste curso, você aprenderá como construir sua equipe, melhorar o trabalho em equipe e a colaboração e sustentar o desempenho da equipe por meio de aprendizado e melhoria contínuos. Especificamente, você aprenderá as melhores práticas para compor uma equipe e alinhar as metas individuais e da equipe. Você também aprenderá como estabelecer funções, criar estruturas e gerenciar a tomada de decisões para que sua equipe se sobressaia.

Sep 7th 2026
4 Weeks
Leadership Teamwork Team Management
Details
Introducción a la Gestión de Operaciones (Coursera) Coursera
Wharton School of the University of Pennsylvania

Introducción a la Gestión de Operaciones (Coursera)

Management & Leadership

Aprende a analizar y a mejorar los procesos empresariales en servicios o en la industria. Aprende cómo incrementar la productividad y a ofrecer niveles de calidad mayores. Después de que finalices con éxito este curso, podrás aplicar estas habilidades en un reto empresarial del mundo real como parte de la Programa Especializado de Fundamentos Empresariales de Wharton.

Sep 7th 2026
4 Weeks
Business Management Operations Management
Details
What is Corruption: Anti-Corruption and Compliance (Coursera) Coursera
University of Pennsylvania

What is Corruption: Anti-Corruption and Compliance (Coursera)

Business

Have you ever paid someone for doing you a favor? You may be accustomed to tipping wait staff or other service providers, but what if you paid a police officer for NOT issuing a parking ticket? Or if you gave a “gift” to a government official for signing a contract with your company? Tipping might be okay, but paying a bribe is a violation of the law. Bribery is widespread and exists almost everywhere and in many forms. Compliance programs address this and other forms of corruption.

Sep 7th 2026
4 Weeks
Corruption Risk Management Strategic Planning
Details
AWS: Data Management and Backups (Coursera) Coursera
Whizlabs

AWS: Data Management and Backups (Coursera)

CS: Information & Technology

AWS: Data Management and Backups Course is the fourth course of Exam Prep: AWS Certified SysOps Administrator - Associate Specialization. This course teaches Data Storage and management concepts by exploring AWS Services such as Amazon S3, and AWS Storage Gateway. This course also assists learners with knowledge of data backups and data recovery concepts using different strategies available in AWS.

Sep 7th 2026
2 Weeks
Data Management Data Storage AWS
Details
Getting Started with Data Visualization in R (Coursera) Coursera
Johns Hopkins University

Getting Started with Data Visualization in R (Coursera)

Statistics & Data Analysis Data Science

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.

Sep 7th 2026
3 Weeks
Data Software Data Management
Details
Clinical Trials Data Management and Quality Assurance (Coursera) Coursera
Johns Hopkins University

Clinical Trials Data Management and Quality Assurance (Coursera)

Health & Society

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets.

Sep 7th 2026
4 Weeks
Data Management Clinical Trials Statistical Analysis
Details
Making the Case for Robotic Process Automation (Coursera) Coursera
Association of International Certified Professional Accountants - AICPA

Making the Case for Robotic Process Automation (Coursera)

CS: Information & Technology

Robotic Process Automation (RPA) is reshaping the accounting and finance profession. 40% of transactional accounting work is expected to be automated by 2020 and predicted to touch 230 million knowledge workers, 9% of the global workforce, according to McKinsey Research. Driven by the need to stay competitive, decrease costs and increase efficiency, RPA is quickly making a significant impact on the profession. Companies no longer think about "if" but "when" to implement RPA.

Sep 7th 2026
2 Weeks
Data Management Accounting Information Technology
Details
Introducción a la Minería de Datos (Coursera) Coursera
Pontificia Universidad Católica de Chile

Introducción a la Minería de Datos (Coursera)

CS: Information & Technology

En este curso, aprenderás de manera gradual y práctica los conceptos básicos de Minería de Datos, junto a los algoritmos más utilizados hoy en día. Al finalizar el curso, serás capaz de entender la importancia de manejar la información y de explorar por ti mismo distintas bases de datos reales. Este curso es el primer paso para convertirte en un/a profesional con habilidades básicas de un científico de datos o Data Scientist, de manera tal que puedas abrirle la puerta al futuro.

Sep 7th 2026
5-12 Weeks
Algorithms Clustering Data Management
Details
Introduction to the Tidyverse (Coursera) Coursera
Johns Hopkins University

Introduction to the Tidyverse (Coursera)

Statistics & Data Analysis Data Science

This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project.

Sep 7th 2026
4 Weeks
Data Management Data Analysis Data Science
Details