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Athlete Monitoring: Data Analysis and Visualization – Rolling Functions
By Mladen Jovanovic on 15/01/2021Rolling functions are useful in describing trends over time. These can be any type of descriptive functions, like means, medians, standard deviations, and so forth.
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Athlete Monitoring: Data Analysis and Visualization – Aggregation
By Mladen Jovanovic on 08/01/2021In this lecture, I explain the basics of data aggregation and a few issues that you might stumble upon, as well as their solution.
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A Practical Guide to Small Sided and Conditioned Games
By Lorcán Mason on 03/01/2021SSGs are game-based training drills that are characterised by the alterations of pitch size, player numbers, and rules.
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Athlete Monitoring: Data Analysis and Visualization – Tags
By Mladen Jovanovic on 25/12/2020Tags are simple descriptors that can help you in your analysis, and can also potentially expand the number of questions you can answer. In this video, I will introduce session descriptors (i.e., type, location, attendance) and athlete descriptors (i.e., health status, training status).
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Athlete Monitoring: Data Analysis and Visualization – Missing data
By Mladen Jovanovic on 10/12/2020Athlete Monitoring: Data Analysis and Visualization Missing Data In real-life, missing data are the norm. Unfortunately, not all missing data should be treated the same. It is of utmost importance to understand the types of missing data, but more importantly to understand the process behind the data collection as well as context. In this lecture, I will explain the...
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Athlete Monitoring: Data Analysis and Visualization – Foundation
By Mladen Jovanovic on 04/12/2020In this module, we are going to cover foundational topics that are needed to progress this course to more practical data wrangling, analysis and visualization.
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Athlete Monitoring: Data Analysis and Visualization – Scale Types
By Mladen Jovanovic on 04/12/2020Athlete Monitoring: Data Analysis and Visualization Scale Types In this video, I will be refreshing your elementary statistical knowledge regarding the type of scales used in data analysis. These involve the following: In this module we are going to cover the following topics: Nominal Ordinal Interval Ratio In sports science, we tend to see interval/ratio scale the most, but...
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Athlete Monitoring: Data Analysis and Visualization – Data Formats
By Mladen Jovanovic on 04/12/2020Athlete Monitoring: Data Analysis and Visualization Data Formats When I started my sports science journey, I wish someone explain to me the difference between wide and long data formats, as well as their pros and cons. In this video, I will explain the aforementioned data formats using morning wellness and training load data sets. I will also scratch the...
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Athlete Monitoring Data Analysis and Visualization – Introduction: Lesson 2
By Mladen Jovanovic on 26/11/2020In the second video, I am providing a basic overview of the three tasks of the statistical analysis, three types of machine learning, and finally, how we can use athlete monitoring - or in other words, for what problems that we have.
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Athlete Monitoring: Data Analysis and Visualization – Introduction
By Mladen Jovanovic on 26/11/2020In this first module, I will (hopefully) provide a “Big Picture” overview of what athlete monitoring is, as well as introduce a few theoretical models that guide my rationale and inferences.