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Certificate Programme in Practical E-commerce Customer Data Analysis Techniques

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Master the art of data-driven decision-making with our ten-unit Certificate Programme in Practical E-commerce Customer Data Analysis. As industry demand for analytical expertise surges, this course positions you at the forefront of digital commerce.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

You will gain hands-on experience in tracking customer journeys, segmenting audiences, and optimizing conversion funnels. By mastering essential tools and methodologies, you will transform raw data into actionable insights. This certification is vital for career advancement, enabling professionals to drive revenue growth and enhance customer retention. Equip yourself with the practical skills needed to thrive in todayโ€™s competitive e-commerce landscape, ensuring you remain indispensable to leading global brands.

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์–ด๋””์„œ๋“  ํ•™์Šต

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LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Foundations of E-commerce Customer Data
  • Data Collection and Tracking Methods
  • Data Cleaning and Preparation Techniques
  • Descriptive Analytics for Sales Performance
  • Customer Segmentation and Persona Development
  • Customer Lifetime Value Analysis
  • Funnel Analysis and Conversion Optimization
  • Churn Prediction and Retention Strategies
  • Practical E-commerce Customer Data Analysis Techniques
  • Visualizing Insights and Reporting Dashboards

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Graduates of the Certificate Programme in Practical E-commerce Customer Data Analysis Techniques are well-positioned for the UK's high-growth digital economy.

The curriculum, comprising 10 specialized units, equips professionals with the technical skills to interpret complex customer behaviors, optimize conversion funnels, and drive revenue through data-informed strategies.

Below is the projected distribution of career pathways for alumni in the current UK job market.

E-commerce Data Analyst (30%) - Focuses on interpreting web traffic, conversion rates, and customer segmentation to optimize online sales strategies.

Digital Marketing Analyst (25%) - Specializes in measuring campaign performance, ROI, and customer acquisition costs across digital channels.

Customer Insights Specialist (22%) - Leverages behavioral data to enhance customer experience, retention, and loyalty programs.

Product Analyst (15%) - Analyzes user interaction with digital products to inform feature development and usability improvements.

Business Intelligence Associate (8%) - Supports senior management with dashboards and reports on key performance indicators and market trends.

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Data Mining Customer Analytics E Commerce Data Visualization

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN PRACTICAL E-COMMERCE CUSTOMER DATA ANALYSIS TECHNIQUES
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์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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4.8

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