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Professional Certificate in Learning Analytics for Academic Progress

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The Professional Certificate in Learning Analytics for Academic Progress is a vital 10-unit program addressing the surging industry demand for data-driven educational insights. As institutions increasingly rely on analytics to enhance student success, this course equips learners with critical skills in data interpretation, predictive modeling, and ethical analysis.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

It bridges the gap between raw data and actionable strategies, enabling professionals to drive academic improvement. By mastering these competencies, graduates position themselves for significant career advancement in educational technology and administration. This certification validates expertise in leveraging analytics to optimize learning outcomes, making it an essential credential for modern educators and administrators seeking to lead in a rapidly evolving digital landscape.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Foundations of Learning Analytics
  • Data Collection and Management in Education
  • Statistical Methods for Academic Data
  • Learning Management System Data Extraction
  • Introduction to Learning Analytics for Academic Progress
  • Predictive Modeling for Student Success
  • Dashboard Design and Data Visualization
  • Ethical Considerations and Privacy Compliance
  • Intervention Strategies Based on Analytics
  • Strategic Implementation and Change Management

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Upon completion of the Professional Certificate in Learning Analytics for Academic Progress, graduates typically enter the following roles within the UK higher education and ed-tech sectors: Learning Analyst : 30% - Focus on interpreting student data to improve engagement and retention strategies.

Academic Data Specialist : 25% - Manage and analyze institutional data to support strategic academic planning.

Student Success Manager : 20% - Utilize analytics to identify at-risk students and implement intervention programs.

Educational Researcher : 15% - Conduct data-driven research to inform pedagogical methods and policy.

Curriculum Developer : 10% - Design and refine course materials based on learning outcome metrics.

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

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Data Analysis Learning Analytics Academic Progress

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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ํšŒ์‚ฌ๋กœ ์ง€๋ถˆ

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

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
PROFESSIONAL CERTIFICATE IN LEARNING ANALYTICS FOR ACADEMIC PROGRESS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์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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4.8

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