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Certificate Programme in Introduction to Data Science in Education

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The Certificate Programme in Introduction to Data Science in Education is a vital ten-unit course designed to meet the surging industry demand for data-literate educators. As schools increasingly rely on analytics for decision-making, this programme bridges the critical gap between pedagogy and technology.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learners master essential skills in data collection, statistical analysis, and ethical interpretation, enabling them to drive evidence-based improvements in student outcomes. By completing this rigorous curriculum, professionals position themselves for significant career advancement, gaining the competitive edge needed to lead digital transformation initiatives within modern educational institutions.

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Foundations of Data Science in Education
  • Educational Data Sources and Collection Methods
  • Data Cleaning and Preprocessing for Learning Analytics
  • Descriptive Statistics for Student Performance
  • Data Visualization Techniques for Educators
  • Introduction to Predictive Modeling in Schools
  • Ethical Considerations and Privacy in EdTech
  • Machine Learning Basics for Educational Insights
  • Interpreting Data for Instructional Decision Making
  • Capstone: Implementing Data-Driven Strategies in Classrooms

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Graduates of the Certificate Programme in Introduction to Data Science in Education are well-positioned for entry-level and mid-level roles within the UK's growing data economy.

The following breakdown represents typical career trajectories based on current market demand: Data Analyst (35%): Interpret data to help organizations make informed decisions, often focusing on educational outcomes or institutional efficiency.

Business Intelligence Analyst (25%): Develop dashboards and reports to visualize trends in student performance and operational data.

Marketing Data Specialist (20%): Analyze recruitment campaigns and student engagement metrics for universities and ed-tech firms.

Data Operations Assistant (20%): Support data cleaning, management, and infrastructure tasks within educational institutions or research bodies.

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

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Data Literacy Educational Analytics Statistical Thinking Data Visualization

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN INTRODUCTION TO DATA SCIENCE IN EDUCATION
์—๊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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