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Athlete Monitoring: Data Analysis and Visualization – Aggregating data in Excel
By Mladen Jovanovic on 19/02/2021Athlete Monitoring: Data Analysis and Visualization Aggregating data in Excel We are going to use R and R-Studio thorough the rest of this course (as well as a little bit of Microsoft Excel), so in this lecture, I will show you how to install them on your computer. About Mladen Jovanovic Mladen Jovanovic is a physical preparation coach from...
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Athlete Monitoring: Data Analysis and Visualization – Module 3
By Mladen Jovanovic on 19/02/2021We are going to use R and R-Studio thorough the rest of this course (as well as little bit of Microsoft Excel), so in this lecture I will show you how to install them on you computer.
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Athlete Monitoring: Data Analysis and Visualization – Comparing Individual to the Group
By Mladen Jovanovic on 09/02/2021When we have multiple individuals sharing the same context we can check what is happening to the group but more importantly to check how is a given individual differing from a group.
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Athlete Monitoring: Data Analysis and Visualization – Normalizing Individuals
By Mladen Jovanovic on 27/01/2021In this lecture I will explain the few techniques that can be used to make the comparison more “fair”, particularly for the purpose of figuring out the change in individual monitoring.
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Athlete Monitoring: Data Analysis and Visualization – Nominal Rolling Functions
By Mladen Jovanovic on 22/01/2021In this lecture, I continue with the solution to the problem of dealing with nominal variables using rolling functions. The presented solution is to use dummy coding and aggregating session using means, which gives us rolling proportions.
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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 – Module 2
By Mladen Jovanovic on 10/12/2020In this module, we are going to cover foundational topics that are needed to progress this course to more practical data wrangling, analysis and visualization.