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Career Advancement Programme in Predictive Modeling for Educational Data

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

By mastering data-driven decision-making, you will unlock exciting career prospects in EdTech, policy analysis, and institutional strategy. The Curriculum focuses on practical applications, ensuring you can immediately impact student outcomes. Join the Career Advancement Programme in Predictive Modeling for Educational Data today to stand out in a competitive job market. Gain the expertise needed to drive innovation and efficiency in education through this highly specialized training that bridges the gap between theory and real-world implementation.

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๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Predictive Modeling in Education
  • Data Wrangling and Preprocessing for Educational Datasets
  • Regression Techniques for Educational Outcomes (Linear Regression, Logistic Regression)
  • Classification Algorithms for Student Performance Prediction (Decision Trees, Support Vector Machines)
  • Model Evaluation and Selection Metrics (Accuracy, Precision, Recall, F1-score, AUC)
  • Predictive Modeling with Time Series Data in Education
  • Ethical Considerations and Bias Mitigation in Educational Predictive Modeling
  • Implementing Predictive Models in Educational Decision Making
  • Advanced Topics in Predictive Modeling: Deep Learning for Education

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Predictive Modeler (Education) Develop and implement predictive models using educational data to enhance learning outcomes and personalize student experiences.

High demand for expertise in statistical modeling and machine learning algorithms.

Data Scientist (Education) Analyze large datasets, identify trends and patterns, and build predictive models to inform strategic decision-making within educational institutions.

Requires strong programming and data visualization skills.

Educational Data Analyst Extract insights from educational data to improve teaching practices, resource allocation, and student support services.

Proficiency in SQL and data manipulation is essential.

Learning Analytics Specialist Utilize predictive modeling techniques to create personalized learning pathways, identify at-risk students, and enhance the overall learning experience.

Excellent communication and collaboration skills are critical.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN PREDICTIVE MODELING FOR EDUCATIONAL DATA
์—๊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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