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Career Advancement Programme in Mobile Customer Data Analysis Applications

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Mobile Customer Data Analysis
  • Data Mining Techniques for Mobile Applications
  • Customer Segmentation and Targeting using Mobile Data
  • Mobile App Analytics Tools and Platforms (e.g., Google Analytics, Firebase)
  • Predictive Modeling and Forecasting with Mobile Customer Data
  • Data Visualization and Reporting for Mobile Insights
  • Big Data Technologies for Mobile Customer Data Analysis
  • Ethical Considerations and Data Privacy in Mobile Analytics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Mobile Customer Data Analysis) Description Junior Data Analyst (Mobile) Entry-level position focusing on data cleaning, preparation, and basic analysis of mobile customer data.

Develops foundational skills in SQL and data visualization.

Mobile Data Analyst Analyzes mobile customer behavior, identifying trends and patterns to improve user experience and drive business decisions.

Proficient in SQL, R or Python.

Senior Mobile Data Analyst Leads data analysis projects, mentors junior analysts, and presents findings to senior management.

Expertise in advanced statistical modeling and predictive analytics.

Strong communication skills are essential.

Mobile BI Analyst Develops and maintains business intelligence dashboards and reports using mobile customer data.

Strong skills in data visualization tools like Tableau or Power BI.

Data Scientist (Mobile Focus) Applies advanced machine learning techniques to large mobile customer datasets to build predictive models and solve complex business problems.

PhD or equivalent experience preferred.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN MOBILE CUSTOMER DATA ANALYSIS APPLICATIONS
์—๊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
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