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Career Advancement Programme in Ad Data Interpretation Strategies

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The Career Advancement Programme in Ad Data Interpretation Strategies is a comprehensive professional certificate comprising ten essential units. As the digital advertising landscape evolves, the industry demand for professionals who can effectively analyze ad performance metrics has skyrocketed.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

This course addresses this critical need by equipping learners with advanced analytical skills and strategic insights. Participants gain proficiency in interpreting complex data sets, optimizing campaign ROI, and making data-driven decisions. By mastering these competencies, learners significantly enhance their employability and career trajectory. This program ensures that graduates are not just participants but leaders in the competitive field of digital marketing, ready to leverage data for substantial business growth and strategic advantage.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Ad Data Interpretation Strategies: Foundations
  • Key Performance Indicators (KPIs) in Advertising: Analysis & Optimization
  • Advanced Data Visualization Techniques for Advertising Insights
  • Data-Driven Decision Making in Advertising Campaigns
  • Attribution Modeling & Marketing Mix Modeling in Advertising
  • A/B Testing and Experiment Design for Enhanced Ad Performance
  • Predictive Analytics for Advertising ROI Improvement
  • Mastering Reporting and Communication of Ad Performance Data

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Analyst (AdTech) Analyze advertising campaign performance, identify trends, and provide data-driven insights to optimize campaigns.

Requires strong SQL and data visualization skills.

Senior Data Scientist (Advertising) Develop advanced statistical models and machine learning algorithms to improve advertising targeting and ROI.

Requires expertise in Python, R, and big data technologies.

Marketing Data Specialist Extract, clean, and analyze marketing data to inform strategic decisions.

Focus on interpreting data to improve campaign effectiveness and customer acquisition.

Business Intelligence Analyst (Digital Advertising) Analyze business performance data related to advertising, identify areas for improvement, and create reports for stakeholders.

Excellent communication 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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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN AD DATA INTERPRETATION STRATEGIES
์—๊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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