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Career Advancement Programme in Big Data in Education

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Big Data in Education: Career Advancement Programme This programme empowers educators and data professionals. It equips you with in-demand skills.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Data analysis, data visualization, and machine learning are covered. Learn to leverage big data analytics for improved educational outcomes. Understand educational data mining and learning analytics. This program improves your career prospects. It's designed for teachers, administrators, and data scientists. Enhance your expertise. Advance your career. Explore this transformative programme today!

100% ์˜จ๋ผ์ธ

์–ด๋””์„œ๋“  ํ•™์Šต

๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ธ์ฆ์„œ

LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Big Data Fundamentals in Education
  • Data Mining and Predictive Analytics for Educational Outcomes
  • Data Visualization and Storytelling for Educational Insights
  • Ethical Considerations and Data Privacy in Educational Big Data
  • Data Warehousing and Data Management for Educational Applications
  • Cloud Computing and Big Data Platforms for Education
  • Machine Learning Applications in Personalized Learning
  • Advanced Analytics and Forecasting in Education
  • Big Data for Educational Policy and Decision-Making

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Big Data in Education) Description Big Data Analyst (Education) Analyze student data to improve learning outcomes.

Develop predictive models for student success and identify at-risk students.

Requires strong SQL and data visualization skills.

Data Scientist (Education Technology) Develop machine learning algorithms for personalized learning experiences.

Build recommendation systems for educational content.

Requires proficiency in Python and R.

Educational Data Architect Design and implement data warehousing solutions for educational institutions.

Manage and maintain large datasets.

Requires strong database administration skills.

Learning Analytics Specialist Interpret data to inform instructional design and curriculum development.

Collaborate with educators to enhance teaching methodologies.

Requires strong communication and analytical skills.

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

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN BIG DATA 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”.
์ƒˆ ๋“ฑ๋ก
4.8

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