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Career Advancement Programme in Data-Driven Student Support in Schools

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The Career Advancement Programme in Data-Driven Student Support in Schools is a comprehensive professional certificate comprising ten specialized units. This course addresses the critical industry demand for educators proficient in leveraging analytics to enhance student outcomes.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

As schools increasingly rely on data for decision-making, this programme equips learners with essential skills in data interpretation, intervention strategies, and personalized support systems. By mastering these competencies, professionals can significantly improve academic performance and retention rates. The curriculum ensures participants are ready to drive evidence-based practices, positioning them for accelerated career advancement and leadership roles within modern educational institutions committed to student success.

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Data-Driven Decision Making in Education
  • Data Analysis Techniques for Student Support (Descriptive & Predictive Analytics)
  • Data Visualization and Reporting for Student Success
  • Ethical Considerations in Data-Driven Student Support
  • Implementing Data-Driven Interventions for At-Risk Students
  • Utilizing Learning Analytics for Personalized Learning
  • Building a Data-Driven Culture in Schools
  • Data Privacy and Security in Education

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in Data-Driven Student Support Description Data Analyst (Education) Analyze student performance data to identify trends and inform strategic decisions.

Develop data-driven insights for improved student outcomes.

High demand in UK schools.

Educational Technologist Integrate technology and data analytics into the learning environment.

Develop and implement data-driven solutions to enhance teaching and learning.

Growing sector with excellent prospects.

Learning Data Scientist Apply advanced analytical techniques to large datasets of student information.

Develop predictive models to improve student success and engagement.

High earning potential.

Student Support Specialist (Data-Focused) Utilize data insights to personalize interventions and support for at-risk students.

Collaborate with teachers and counselors to improve student well-being.

Excellent career progression opportunities.

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

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ํš๋“ํ•  ๊ธฐ์ˆ 

Data Analysis Student Support

์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
CAREER ADVANCEMENT PROGRAMME IN DATA-DRIVEN STUDENT SUPPORT IN SCHOOLS
์—๊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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