Certified Specialist Programme in Predictive Modeling for Marketing Analytics

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The Certified Specialist Programme in Predictive Modeling for Marketing Analytics is a comprehensive course designed to equip learners with essential skills in predictive modeling, a highly sought-after competency in today's data-driven marketing landscape. This program underscores the importance of using statistical models and machine learning algorithms to forecast customer behavior, enabling businesses to make informed decisions and drive growth.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

In an era of big data, marketing professionals with predictive modeling expertise are in high demand, as companies strive to harness the power of data to gain a competitive edge. By completing this certificate course, learners will acquire critical skills in data analysis, predictive modeling, and marketing strategy, positioning them for success in this rapidly evolving field. This program not only provides a solid foundation in predictive modeling techniques but also teaches learners how to apply these methods to real-world marketing scenarios, ensuring that they are well-prepared to tackle the challenges and opportunities of the modern marketing analytics industry.

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Predictive Modeling: Fundamentals of predictive modeling, its importance, and applications in marketing analytics.
  • Data Preparation for Predictive Modeling: Data cleaning, preprocessing, and transformation techniques for predictive modeling.
  • Descriptive vs. Predictive Analytics: Differentiating between descriptive and predictive analytics, and their roles in marketing.
  • Regression Analysis: Simple and multiple linear regression, logistic regression, and their applications in predictive modeling for marketing.
  • Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models, and their use in marketing forecasting.
  • Decision Trees and Random Forests: Decision trees, random forests, and their implementation in predictive modeling for marketing.
  • Neural Networks and Deep Learning: Introduction to neural networks, deep learning, and their use in marketing predictive modeling.
  • Model Evaluation and Validation: Techniques for evaluating and validating predictive models, including cross-validation and statistical tests.
  • Ethical Considerations in Predictive Modeling: Examining ethical implications of predictive modeling in marketing, including data privacy and model transparency.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED SPECIALIST PROGRAMME IN PREDICTIVE MODELING FOR MARKETING ANALYTICS
์—๊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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