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In diesem Kurs gibt es 3 Module
"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.
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.
Das ist alles enthalten
7 Videos5 Lektüren8 Aufgaben
Infos zu Modulinhalt anzeigen
7 Videos•Insgesamt 42 Minuten
Time and Change•7 Minuten
Modeling Sudden Changes•9 Minuten
Simulation Forecasting: Part 1•8 Minuten
Simulation Forecasting: Part 2•3 Minuten
Bass Diffusion Model•3 Minuten
Bass Diffusion Model Outputs•6 Minuten
Wrap-Up on Simulation-Based Forecasting•4 Minuten
5 Lektüren•Insgesamt 320 Minuten
Dynamic Bayesian Networks (DBNs) & Time Series Forecasting•120 Minuten
R-Scripts - Time Series•10 Minuten
Change Point Analysis (CPA) & ITSA•120 Minuten
Simulation Model-Building, Validation, and Optimization•60 Minuten
Bass Diffusion Modeling•10 Minuten
8 Aufgaben•Insgesamt 156 Minuten
Module 2 Graded Quiz•60 Minuten
Time and Change Quiz•15 Minuten
Modeling Sudden Changes Quiz•15 Minuten
Simulation Forecasting: Part 1 Quiz•15 Minuten
Simulation Forecasting: Part 2 Quiz•15 Minuten
Bass Diffusion Model Quiz•9 Minuten
Bass Diffusion Model Outputs Quiz•12 Minuten
Wrap-Up on Simulation-Based Forecasting Quiz•15 Minuten
Learning and Decision Optimization
Modul 3•9 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
8 Videos5 Lektüren9 Aufgaben
Infos zu Modulinhalt anzeigen
8 Videos•Insgesamt 50 Minuten
State Transition Diagrams•3 Minuten
Customer Journeys•8 Minuten
Transition Diagram Calculations•6 Minuten
What-if Analysis•6 Minuten
Learning Models From Data•6 Minuten
Bayesian Inference for a Simplified BTYD Model•9 Minuten
Reinforcement Learning•5 Minuten
MAB Testing•7 Minuten
5 Lektüren•Insgesamt 165 Minuten
Multistate Transition Models•45 Minuten
R-Script - Markov Modeling•10 Minuten
Bayes Rule & BTYD Models•60 Minuten
Multi-Arm Bandit Models and Reinforcement Learning•30 Minuten
Communicating Analytics Results•20 Minuten
9 Aufgaben•Insgesamt 297 Minuten
Module 3 Graded Quiz•180 Minuten
State Transition Diagrams Quiz•15 Minuten
Customer Journeys Quiz•15 Minuten
Transition Diagram Calculations Quiz•15 Minuten
What-if Analysis Quiz•12 Minuten
Learning Models From Data Quiz•15 Minuten
Bayesian Inference for a Simplified BTYD Model Quiz•15 Minuten
Reinforcement Learning Quiz•15 Minuten
MAB Testing Quiz•15 Minuten
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