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Certificate Programme in Introduction to Learning Analytics for Beginners

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The Certificate Programme in Introduction to Learning Analytics for Beginners is a comprehensive 10-unit course designed to meet the surging industry demand for data-driven educational insights. As organizations increasingly rely on analytics to optimize learning outcomes, this program becomes crucial for career advancement.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

It equips learners with essential skills in data interpretation, visualization, and evidence-based decision-making. By mastering these competencies, participants can effectively bridge the gap between raw data and actionable strategies, enhancing their value in the workforce. This certification prepares beginners to thrive in roles requiring analytical precision, ensuring they are ready to drive innovation and efficiency in modern educational and corporate training environments.

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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
  • Educational Data Sources and Types
  • Data Collection and Privacy Ethics
  • Data Cleaning and Preparation
  • Descriptive Analytics for Education
  • Visualization of Learning Patterns
  • Introduction to Predictive Modeling
  • Learning Analytics Dashboard Design
  • Interpreting Analytics for Instruction
  • Implementing Learning Analytics in Practice

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Upon completion of the Certificate Programme in Introduction to Learning Analytics for Beginners, graduates in the UK market are positioned for entry-level and associate roles within educational technology, data consultancy, and academic administration.

The following distribution represents the typical career trajectory shares for alumni entering the workforce within 12 months of certification.

Learning Analytics Associate - 35%: Entry-level role focusing on data collection and basic reporting for educational institutions.

Education Data Analyst - 25%: Junior analyst position interpreting student performance data to inform curriculum decisions.

Academic Advisor (Data-Focused) - 20%: Student support role utilizing analytics to identify at-risk students and improve retention.

EdTech Product Coordinator - 12%: Operational role within tech companies, bridging the gap between product features and user data.

Research Assistant (HE Sector) - 8%: Support role in higher education research projects involving quantitative educational studies.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN INTRODUCTION TO LEARNING ANALYTICS FOR BEGINNERS
์—๊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”.
์ƒˆ ๋“ฑ๋ก
4.8

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