Career Advancement Programme in Data Collection for Impact Evaluation

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Data Collection for Impact Evaluation: This Career Advancement Programme equips professionals with in-demand skills. Learn best practices in quantitative and qualitative data collection methods.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Master survey design, interview techniques, and data management. The programme is ideal for researchers, evaluators, and program managers seeking to improve their impact evaluation capabilities. It emphasizes practical application and real-world scenarios. Gain expertise in data analysis using relevant software. Enhance your career prospects with this valuable data collection training. Boost your career and become a sought-after expert. Explore the programme details today!

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์–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

  • Introduction to Data Collection for Impact Evaluation
  • Data Management and Cleaning for Impact Evaluation
  • Qualitative Data Collection Methods (Interviews, Focus Groups)
  • Quantitative Data Collection Methods (Surveys, Experiments)
  • Data Analysis Techniques for Impact Evaluation
  • Sampling Strategies for Impact Evaluation
  • Ethical Considerations in Data Collection
  • Reporting and Communicating Results from Impact Evaluation
  • Data Visualization for Impact Evaluation

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in Data Collection for Impact Evaluation (UK) Description Data Analyst (Impact Evaluation) Analyze collected data, identifying key trends and insights to measure program effectiveness.

Crucial for evidence-based policymaking.

Research Associate (Quantitative Methods) Design and implement data collection strategies, utilizing both quantitative and qualitative methods for robust impact assessments.

Evaluation Officer (Impact Measurement) Oversee all aspects of the impact evaluation process, from planning to reporting, ensuring data quality and accurate interpretation.

Experience with various data collection techniques needed.

Monitoring & Evaluation Specialist (Development Programs) Develop and implement M&E frameworks, collect and analyze data to track progress, and report on the achievements of development projects.

High demand for data visualization and presentation skills.

Data Scientist (Causal Inference) Employ advanced statistical modeling and machine learning techniques to establish causal relationships and accurately assess program impact.

Strong programming and analytical skills are essential.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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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 DATA COLLECTION FOR IMPACT EVALUATION
์—๊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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