Certificate in Esports Analytics Interpretation: Data Analysis

Name: Certificate in Esports Analytics Interpretation: Data Analysis
Price: 149 GBP
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The Certificate in Esports Analytics Interpretation: Data Analysis is a crucial course designed to meet the growing demand for data analysis in the Esports industry. This program equips learners with essential skills to interpret and analyze Esports data, enabling them to make informed decisions that can impact team strategy, fan engagement, and business growth.

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AboutThisCourse

With the Esports industry projected to reach over $1.5 billion by 2023, the need for skilled data analysts is more critical than ever. This course provides learners with the opportunity to gain a comprehensive understanding of Esports data analysis, setting them apart in a competitive job market. Through this program, learners will develop skills in data collection, analysis, and visualization, as well as learn to apply statistical models to Esports data. These skills are highly valued in the industry and can lead to career advancement opportunities in Esports teams, gaming companies, and related businesses.

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CourseDetails

• Introduction to Esports Analytics – defining esports analytics, its importance, and applications in the esports industry. • Data Collection Methods – discussing various methods of collecting data in esports, such as match data, player data, and game data. • Data Cleaning – covering the process of cleaning and preparing data for analysis, including handling missing data and outliers. • Data Analysis Tools – introducing various tools and technologies used in esports data analysis, such as R, Python, and Tableau. • Statistical Analysis – teaching the basics of statistical analysis and how to apply them to esports data, including descriptive and inferential statistics. • Advanced Analytics – discussing advanced analytics techniques, such as machine learning and predictive modeling, and their applications in esports. • Visualization Techniques – introducing data visualization techniques, such as charts, graphs, and dashboards, and their use in esports data analysis. • Communicating Insights – covering effective communication of data insights, including data storytelling and data presentation. • Real-World Applications – examining real-world examples of esports analytics in action, including player performance analysis, team performance analysis, and game design.

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BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £149

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ThreeFourHoursPerWeek
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StandardMode GBP £99

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TwoThreeHoursPerWeek
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CERTIFICATE IN ESPORTS ANALYTICS INTERPRETATION: DATA ANALYSIS

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UK School of Management (UKSM)

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05 May 2025

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