Executive Development Programme in Data-Driven Conservation Data Analysis

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The Executive Development Programme in Data-Driven Conservation Data Analysis is a certificate course designed to empower professionals with the necessary skills to excel in the conservation industry. This program emphasizes the importance of data-driven decision-making in conservation efforts and teaches learners how to analyze and interpret complex data sets.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

With the increasing demand for data-driven solutions in conservation, this course is essential for professionals seeking to advance their careers. Learners will gain practical experience with data analysis tools and techniques, enabling them to make informed decisions and drive meaningful change in their organizations. This program is ideal for conservation professionals, researchers, and policymakers who want to enhance their data analysis skills and stay ahead in the competitive job market. By completing this course, learners will be equipped with the skills and knowledge needed to make a positive impact on the environment and conservation efforts worldwide.

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์ฃผ 2-3์‹œ๊ฐ„

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๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

โ€ข Data Collection and Management for Conservation
โ€ข Data Analysis Tools and Techniques
โ€ข Data Visualization for Data-Driven Conservation
โ€ข Statistical Analysis in Conservation
โ€ข Machine Learning and AI in Conservation Data Analysis
โ€ข Geographic Information Systems (GIS) for Conservation
โ€ข Remote Sensing and Satellite Data Analysis
โ€ข Big Data and Cloud Computing for Conservation
โ€ข Data Ethics and Privacy in Conservation Research
โ€ข Data-Driven Decision Making in Conservation

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

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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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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
EXECUTIVE DEVELOPMENT PROGRAMME IN DATA-DRIVEN CONSERVATION DATA ANALYSIS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London College of Foreign Trade (LCFT)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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