Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing offered by Northwestern University
- Private University
240 acre campus- Estd. 1851
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Overview
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Get an understanding of how predictive models work and which variables matter most
Duration | 6 weeks |
Total fee | ₹1.97 Lakh |
Mode of learning | Online |
Course Level | UG Certificate |
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Highlights
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
- Earn a certificate from the Northwestern Kellogg
- Learn from live and recorded sessions with program faculty
- Get hands-on experience with real-world data sets and advanced analytics tools for making more strategic, profitable decisions at the organization
- Kellogg is consistently ranked number one among business schools for marketing education, according to U.S. News & World Report
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Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Course details
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Skills you will learn
Who should do this course?
- For Marketers drive business results through smarter targeting and conduct more meaningful, strategic discussions with analyst teams who want to
- For Business leads and consultants looking to implement machine learning predictions of customers and marketing to drive incremental business results and profits
What are the course deliverables?
- An understanding of how predictive models work and which variables matter most for addressing the problems students are trying to solve and achieving their business goals
- The confidence to engage in more productive conversations with data analysts and ask the right questions to drive enterprise-wide impact
- Knowledge of the most common machine learning methods and how they are used to improve marketing models
- The ability to leverage historical data to train and retrain models so that they are highly functional to grow marketing effectiveness and business
More about this course
- Marketing practice has evolved from being a highly qualitative field that is largely led by gut feelings and assumptions to one that is driven by data and models
- The program is designed to be a career-defining next step for marketers and related roles who already work with analytics and strive to understand customers better, ask better questions, and ultimately make better marketing decisions
- This program will help students learn to measure what matters, sharpen their predictions, and drive marketing return on investment (ROI)
- Students will be at the forefront of marketing practice by leveraging machine learning techniques to make better marketing investment decisions that will make an impact on their business - and their career
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Curriculum
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Module 1: Understanding Your Data and Basic Predictions
Module 2: Predictive Models and Desired Outcomes
Module 3: Machine Learning Tools for Segmenting and Targeting
Module 4: Machine Learning Models To Sharpen Your Strategy
Module 5: Testing Models in the Real World: Link Analytics to Business Outcomes
Module 6: Incrementality: Identify Your Highest-Value Customers
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Faculty details
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Eric T Anderson
Professor Anderson's research interests include analytics, retailing, pricing strategy, innovation, new products, and channel management. His recent research has been conducted with various organizations around the world and has impacted both management practice and academic theory
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Entry Requirements
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Eligibility criteria
- Prerequisites: Basic statistics
Conditional Offer
- Not mentioned
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Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing at Northwestern University Contact Information
Applied Marketing Analytics: Machine Learning and Predictive Models for Improved Marketing
at Northwestern University
Address
633 Clark Street, Evanston, Illinois-60208, USA
Evanston ( Illinois)
Phone
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