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Certificate Programme in Mobile Data Cleansing

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The Certificate Programme in Mobile Data Cleansing is a vital professional credential designed to meet the surging industry demand for accurate, high-quality mobile data. Comprising ten comprehensive units, this course equips learners with essential skills to identify, clean, and manage complex datasets effectively.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

As businesses increasingly rely on mobile analytics for strategic decision-making, the ability to ensure data integrity becomes a critical competitive advantage. This program bridges the gap between raw data and actionable insights, preparing professionals for career advancement in data management and analytics roles. By mastering these techniques, graduates position themselves as indispensable assets in the digital economy.

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Mobile Data Cleansing and its Importance
  • Data Wrangling Techniques for Mobile Datasets
  • Handling Missing Values and Outliers in Mobile Data
  • Mobile Data Deduplication and Matching
  • Data Transformation and Standardization for Mobile Applications
  • Data Quality Assessment and Reporting
  • Data Security and Privacy in Mobile Data Cleansing
  • Case Studies in Mobile Data Cleansing Projects
  • Mobile Data Cleansing using Python and R (programming)
  • Advanced Techniques in Mobile Data Cleansing (e.g., fuzzy matching)

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Cleansing Specialist (Mobile) Ensures data accuracy and integrity within mobile applications, crucial for app performance and user experience.

High demand for professionals with experience in SQL and Python.

Mobile Data Analyst Analyzes mobile application usage data to identify trends, improve functionality, and drive business decisions.

Requires strong analytical skills and experience with data visualization tools.

Mobile App Developer (Data Focus) Develops mobile applications with a strong focus on efficient data handling and cleansing.

Needs proficiency in mobile development languages and data management practices.

Data Engineer (Mobile Specialization) Builds and maintains data pipelines for mobile applications, ensuring seamless data flow and accessibility.

Requires expertise in big data technologies and cloud platforms.

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

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Data Cleansing Mobile Data

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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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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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN MOBILE DATA CLEANSING
์—๊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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