Certificate Programme in Student Success Data Analysis

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The Certificate Programme in Student Success Data Analysis is a comprehensive course designed to empower educators and administrators with the skills to leverage data-driven insights for improved student outcomes. In an era of increasing emphasis on data-informed decision-making, this programme bridges the gap between raw data and actionable strategies, fostering a culture of evidence-based practices in educational institutions.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

This course is critical for professionals seeking to advance their careers in education, as it provides the essential skills to analyze student performance metrics, identify trends and patterns, and develop data-centric interventions. The demand for data-savvy educators is at an all-time high, making this certificate programme an invaluable asset for those looking to make a tangible impact on student success. By the end of this programme, learners will be equipped with the ability to collect, interpret, and apply data analytics in real-world educational settings. This not only enhances their professional skillset but also contributes to the broader goal of fostering a data-driven education ecosystem that nurtures 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 Analysis for Student Success
  • Descriptive Statistics in Education
  • Data Visualization for Student Outcomes
  • Regression Analysis and Student Performance Prediction
  • Student Success Data Mining Techniques
  • Data Wrangling and Cleaning for Educational Data
  • Ethical Considerations in Student Data Analysis
  • Interpreting and Communicating Student Success Data

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Analyst (Student Success) Analyze student performance data to improve learning outcomes and inform strategic decisions.

High demand for data visualization skills.

Educational Data Scientist Develop predictive models using student data to identify at-risk students and personalize learning experiences.

Requires strong statistical modeling expertise.

Learning Analytics Consultant Advise educational institutions on leveraging data to enhance teaching and learning.

Excellent communication and problem-solving skills are crucial.

Student Success Manager (Data-Driven) Utilize data analysis to support student well-being and academic progress.

Strong interpersonal and data interpretation skills are essential.

Business Intelligence Analyst (Education) Analyze business data within educational settings to inform resource allocation and strategic planning.

Requires expertise in data mining and reporting.

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

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Data Mining Predictive Modeling Statistical Analysis Learning Analytics

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์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
CERTIFICATE PROGRAMME IN STUDENT SUCCESS DATA ANALYSIS
์—๊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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