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Certificate Programme in Data-Driven Game Mechanics

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The Certificate Programme in Data-Driven Game Mechanics is a comprehensive professional course comprising ten focused units designed to meet the growing industry demand for analytical expertise in game development. As the gaming sector expands, studios increasingly rely on data to optimize player engagement, retention, and monetization strategies.

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This programme equips learners with essential skills in statistical analysis, player behavior modeling, and iterative design testing. By mastering these tools, participants gain the ability to make informed, evidence-based decisions that drive commercial success. The curriculum bridges the gap between creative design and quantitative analysis, preparing graduates for advanced roles such as Live Ops Analyst or Data Scientist. This certification serves as a critical catalyst for career advancement, ensuring professionals remain competitive in a rapidly evolving, data-centric entertainment landscape.

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Data Analysis for Game Design
  • Game Mechanics and Player Behavior
  • Data-Driven Game Design using Python
  • A/B Testing and Experimentation in Games
  • Data Visualization and Storytelling for Game Developers
  • Implementing Data-Driven Game Mechanics
  • Machine Learning for Game AI
  • Game Analytics and Performance Measurement

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Scientist (Games) Analyze game data to optimize gameplay, improve player retention, and drive monetization strategies.

Data-driven decision making is key.

Game Designer (Data Focused) Design engaging game mechanics informed by data analysis and player behavior insights.

Strong understanding of data visualization is essential.

Game Analyst Collect, process, and interpret game data to identify trends, evaluate performance, and make recommendations for improvement.

Proficiency in data mining techniques.

UX/UI Designer (Games - Data Informed) Design intuitive user interfaces and experiences based on data -driven insights into player preferences and behavior.

Focus on data analytics to improve user engagement.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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Game Analytics Player Modeling

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN DATA-DRIVEN GAME MECHANICS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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