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Career Advancement Programme in Public Health Data Analysis

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Public Health Data Analysis: This Career Advancement Programme equips you with in-demand skills. Designed for professionals seeking career growth in public health, epidemiology, or biostatistics.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn advanced techniques in data management, statistical modeling, and data visualization. Master R programming and statistical software like SAS or Stata. Gain expertise in epidemiological methods and health informatics. Develop critical thinking and problem-solving skills. Enhance your resume and advance your career prospects. Limited seats available. Register now to secure your place. Explore the program details and apply today!

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Public Health Data & its Sources
  • Data Cleaning and Wrangling Techniques in R/Python
  • Statistical Methods for Public Health Data Analysis
  • Data Visualization and Communication of Findings
  • Epidemiological Methods and Modelling
  • Advanced Regression Techniques
  • Geographic Information Systems (GIS) in Public Health
  • Big Data Analytics and Public Health
  • Ethical Considerations in Public Health Data Analysis
  • Project Management and Data Analysis Reporting

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Public Health Data Analysis) Description Public Health Data Analyst Analyze complex datasets, identify trends, and provide data-driven insights to improve public health strategies.

High demand for statistical modeling and data visualization skills.

Epidemiologist (Data Focus) Investigate disease outbreaks, analyze epidemiological data, and contribute to evidence-based public health interventions.

Requires strong epidemiological knowledge and data analysis expertise.

Biostatistician (Public Health) Design and conduct statistical analyses of biological and health data, interpret findings, and contribute to the development of public health policies.

Advanced statistical modeling skills are essential.

Health Informatics Specialist Manage and analyze health data using advanced software and databases.

Develop and maintain data systems to improve efficiency and information flow in the public health sector.

Strong database management skills are key.

Data Scientist (Public Health) Apply advanced analytical techniques to large public health datasets, develop predictive models, and identify solutions to complex public health challenges.

Machine learning experience is highly advantageous.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN PUBLIC HEALTH 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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