Postgraduate Certificate in High School Baseball Player Analytics with AI
-- ViewingNowThe Postgraduate Certificate in High School Baseball Player Analytics with AI is a comprehensive course designed to prepare learners for the rapidly evolving world of sports analytics. This course emphasizes the importance of data-driven decision-making in baseball, teaching learners how to apply AI and machine learning techniques to analyze player performance, strategize game plans, and optimize team management.
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ร 2-3 heures par semaine
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Dรฉtails du cours
โข Advanced Statistical Analysis: An in-depth exploration of statistical methods and techniques, focusing on those applicable to high school baseball player analytics. Topics include descriptive and inferential statistics, probability distributions, hypothesis testing, regression analysis, and predictive modeling. โข Data Collection and Management: An introduction to various data collection methods, including manual observation, optical tracking systems, and wearable sensors. Emphasizes data cleaning, pre-processing, and management strategies to ensure data quality and integrity. โข Player Evaluation Metrics: A deep dive into the most relevant performance metrics for high school baseball players, such as batting average, on-base percentage, slugging percentage, fielding percentage, and earned run average. Examines advanced metrics such as wOBA (weighted on-base average) and FIP (fielding independent pitching). โข Machine Learning and AI in Baseball: An examination of how artificial intelligence and machine learning can be applied to high school baseball player analytics. Covers supervised and unsupervised learning techniques, such as clustering and classification algorithms, to identify patterns and trends in baseball data. โข Video Analysis and Computer Vision: An introduction to video analysis techniques and computer vision algorithms for tracking and analyzing player movements, such as pitch recognition, swing analysis, and defensive positioning. โข Data Visualization: An exploration of data visualization techniques for effectively presenting baseball analytics insights. Covers essential visualization tools such as scatter plots, line charts, bar charts, and heatmaps. โข Ethical Considerations and Data Privacy: An examination of the ethical considerations involved in using player analytics in high school baseball, including data privacy concerns, informed consent, and potential biases. โข Sports Analytics and Decision Making: An analysis of how sports analytics can inform coaching decisions, such as player development, lineup optimization, and game strategy. Explores the role of analytics in talent identification and recruitment.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
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Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
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