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Career Advancement Programme in Advanced Customer Analytics
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์ด ๊ณผ์ ์ ๋ํด
Learn from industry experts and gain hands-on experience with real-world datasets. With a focus on practical applications, you'll master the latest tools and techniques, preparing you to excel in this rapidly growing field.
Upon completion, you'll have a portfolio of projects to showcase your expertise and a certification to boost your career prospects. Join our programme and unlock your potential as a data-driven professional, ready to make an impact in advanced customer analytics.
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- Introduction to Customer Analytics: Understanding the basics of customer analytics, its importance, and the role it plays in business decision-making.
- Data Collection and Management: Learning the best practices for collecting, cleaning, and managing customer data, including data governance and ethical considerations.
- Data Analysis Techniques: Exploring various data analysis techniques such as segmentation, clustering, and association analysis to uncover customer insights.
- Predictive Analytics: Delving into predictive analytics, including predictive modeling, regression analysis, and time series forecasting to anticipate customer behavior.
- Prescriptive Analytics: Understanding how to use optimization algorithms, decision trees, and other prescriptive analytics techniques to make data-driven recommendations for business decisions.
- Customer Lifetime Value Analysis: Learning how to calculate and interpret customer lifetime value, and how to use it to inform marketing and customer retention strategies.
- Marketing Attribution and Measurement: Exploring the principles of marketing attribution and measurement, including multi-touch attribution, to understand the impact of marketing efforts on customer behavior.
- Advanced Visualization Techniques: Mastering advanced visualization techniques to effectively communicate complex customer insights and data stories.
- Ethics in Customer Analytics: Examining the ethical considerations and implications of customer analytics, including data privacy, security, and responsible use of customer data.
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์ฒญ๊ตฌ์๋ก ๊ฒฐ์ ๊ฒฝ๋ ฅ ์ธ์ฆ์ ํ๋
CAREER ADVANCEMENT PROGRAMME IN ADVANCED CUSTOMER ANALYTICS
์๊ฒ ์์ฌ๋จ
ํ์ต์ ์ด๋ฆ
์์ ํ๋ก๊ทธ๋จ์ ์๋ฃํ ์ฌ๋
London School of Planning and Management (LSPM)
์์ฌ์ผ
05 May 2025
๋ธ๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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