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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.
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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 – 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 – Module 1
By Mladen Jovanovic on 01/12/2020In this first module, I will provide a “Big Picture” overview of what athlete monitoring is, as well as introduce a few theoretical models that guide my rationale and inferences.
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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
By Mladen Jovanovic on 26/11/2020In the Athlete Monitoring course, we will build things from the ground up. You will learn different data types, different data formats, their pros and cons, how to aggregate and smooth the data, and much more.
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Google Sheets for Sports Science Course – Strength Template Part 3
By John Lythe on 14/11/2020Google Sheets for Sports Science Course Strength Template – Part 3 This is the final strength template video where further features are added using the HYPERLINK function and an image and video repository. The user can now select an exercise and have a link to an exercise photo and video demonstration become available for the athlete to open. About...
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Google Sheets for Sports Science Course – Strength Template Part 2
By John Lythe on 13/11/2020Google Sheets for Sports Science Course Strength Template – Part 2 This video focuses on the connection of a searchable exercises list, a Set-Rep table and an athlete 1RM table to the 4 week-strength template. A number of lookup and logic functions are combined to allow the user to make selections and see sets, reps and prescribed loads populate...