Time, Change, and Decisions for Marketing

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Time, Change, and Decisions for Marketing

本课程是 Data Science for Marketing 专项课程的一部分

位教师：A.W. Lukens

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3个模块

深入了解一个主题并学习基础知识。

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2 周完成

在 10 小时一周

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3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Predict customer behaviors and market trends using advanced analytics.

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要了解的详细信息

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作业

25 项作业

授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Science for Marketing 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有3个模块

"Time, Change, and Decisions for Marketing" shows how advanced analytics can be used to adapt and optimize marketing strategies in response to evolving market conditions. Unique to this course is the integration of advanced analytics into strategic marketing decision-making, equipping learners with the skills and knowledge to lead data-driven marketing initiatives and coordinate strategies across teams for maximum business impact.

Use Causal Bayesian Networks and Partial Dependence Plots to revolutionize your marketing strategies. This module shows you how to optimize decision-making, understand customer behavior, and visually interpret complex data for strategic marketing insights.

涵盖的内容

7个视频7篇阅读材料8个作业

7个视频总计46分钟

Calculating LTV Changes 8分钟
Bayesian Networks 1: Visualizing Dependencies 6分钟
Bayesian Networks 2: Conditional Probability Tables and Conditional Independence 8分钟
Applying Bayesian Networks: Predicting, Explaining, and Deciding 7分钟
Influence Diagrams 6分钟
Partial Dependence Plots (PDPs) 5分钟
Individual Conditional Expectation (ICE) Plots 6分钟

7篇阅读材料总计166分钟

A Note About Readings & R-Scripts 1分钟
Causal Bayesian Networks 60分钟
R-Scripts - Bayesian Networks 10分钟
Influence Diagrams 60分钟
Partial Dependence Plots and Causal Interpretation 15分钟
R-Scripts - Partial Dependence Plot (PDP) 10分钟
R-Scripts - Individual Conditional Expectation (ICE) Plots 10分钟

8个作业总计132分钟

Module 1 Graded Quiz 30分钟
Calculating LTV Changes Quiz 15分钟
Bayesian Networks 1: Visualizing Dependencies Quiz 15分钟
Bayesian Networks 2: Conditional Probability Tables and Conditional Independence Quiz 15分钟
Applying Bayesian Networks: Predicting, Explaining, and Deciding Quiz 15分钟
Influence Diagrams Quiz 15分钟
Partial Dependence Plots (PDPs) Quiz 12分钟
Individual Conditional Expectation (ICE) Plots Quiz 15分钟

Clarify the dynamics of customer behavior and market trends with Dynamic Bayesian Networks. Master time series forecasting and change detection to stay ahead in the ever-evolving marketing landscape, ensuring your strategies remain relevant and effective.

涵盖的内容

7个视频5篇阅读材料8个作业

7个视频总计42分钟

Time and Change 7分钟
Modeling Sudden Changes 9分钟
Simulation Forecasting: Part 1 8分钟
Simulation Forecasting: Part 2 3分钟
Bass Diffusion Model 3分钟
Bass Diffusion Model Outputs 6分钟
Wrap-Up on Simulation-Based Forecasting 4分钟

5篇阅读材料总计320分钟

Dynamic Bayesian Networks (DBNs) & Time Series Forecasting 120分钟
R-Scripts - Time Series 10分钟
Change Point Analysis (CPA) & ITSA 120分钟
Simulation Model-Building, Validation, and Optimization 60分钟
Bass Diffusion Modeling 10分钟

8个作业总计156分钟

Module 2 Graded Quiz 60分钟
Time and Change Quiz 15分钟
Modeling Sudden Changes Quiz 15分钟
Simulation Forecasting: Part 1 Quiz 15分钟
Simulation Forecasting: Part 2 Quiz 15分钟
Bass Diffusion Model Quiz 9分钟
Bass Diffusion Model Outputs Quiz 12分钟
Wrap-Up on Simulation-Based Forecasting Quiz 15分钟

Optimize marketing and business decision-making with the help of causal forecasting. Learn to model customer journeys, perform what-if analyses, and apply Bayesian inference, equipping you with cutting-edge tools for real-time, data-driven marketing strategies.

涵盖的内容

8个视频5篇阅读材料9个作业

8个视频总计50分钟

State Transition Diagrams 3分钟
Customer Journeys 8分钟
Transition Diagram Calculations 6分钟
What-if Analysis 6分钟
Learning Models From Data 6分钟
Bayesian Inference for a Simplified BTYD Model 9分钟
Reinforcement Learning 5分钟
MAB Testing 7分钟

5篇阅读材料总计165分钟

Multistate Transition Models 45分钟
R-Script - Markov Modeling 10分钟
Bayes Rule & BTYD Models 60分钟
Multi-Arm Bandit Models and Reinforcement Learning 30分钟
Communicating Analytics Results 20分钟

9个作业总计297分钟

Module 3 Graded Quiz 180分钟
State Transition Diagrams Quiz 15分钟
Customer Journeys Quiz 15分钟
Transition Diagram Calculations Quiz 15分钟
What-if Analysis Quiz 12分钟
Learning Models From Data Quiz 15分钟
Bayesian Inference for a Simplified BTYD Model Quiz 15分钟
Reinforcement Learning Quiz 15分钟
MAB Testing Quiz 15分钟

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位教师

A.W. Lukens

University of Colorado System

7 门课程 10,287 名学生

提供方

University of Colorado System

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