Data Analytics Methods for Marketing
12 Hours
Estimated learning time
Self-Paced
Progress at your own speed
Popular course
A popular course among students
About the Course
Description
This course explores common analytics methods used by marketers such as audience segmentation, clustering and marketing mix modeling. . You'll explore how to use linear regression for marketing planning and forecasting, and how to assess advertising effectiveness through experiments. By the end of this course you will be able to: • Understand your audience using analytics and variable descriptions • Define a target audience using segmentation with K-means clustering • Use historical data to plan your marketing across different channels • Use linear regression to forecast marketing outcomes • Describe marketing mix modeling and apply different attribution models • Assess advertising effectiveness • Explain how A/B testing works and how you can use it to optimize ads • Evaluate experiment results and assess the strength of the experiment • Optimize your sales funnel This course is for people who want to learn how to plan, forecast and optimize marketing efforts using marketing mix modeling, attribution models and A/B tests.
This course is part of program
You can only buy it along with program.
Sections
Schedule
Asynchronous
Delivery method
Online
Deliverables
Hone Important Skills
Total Upgrade
Such as Marketing, Data Analysis, Statistical Analysis, Business Analysis, Marketing Management, Media Strategy & Planning, Digital Marketing, Market Research, Market Analysis, Regression, Forecasting, Research and Design, Statistical Tests, Probability & Statistics, Experiment, Advertising, Marketing Plan, Analysis, Marketing Mix Modeling, Linear Regression
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