Data Analytics Methods for Marketing

Beginner Level
Approx. 12 hours
Flexible Schedule

Anke Audenaert

What You’ll Learn

How to plan and forecast your marketing efforts across different channels

How to use marketing mix modeling and attribution to optimize your efforts

How to evaluate and optimize your sales funnel

Skills You’ll Gain

Sales Pipelines Marketing Strategies Regression Analysis Unsupervised Learning Target Audience Customer Analysis Advertising Campaigns Marketing Planning Return On Investment Marketing Analytics Forecasting Marketing Effectiveness Marketing Marketing Channel A/B Testing Key Performance Indicators (KPIs)

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Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

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There are 4 modules in this course

In the first week you will learn about the importance of segmentation in marketing and different methods to use segmentation to determine target audiences for your marketing.

This week you will get an overview of common descriptive metrics for marketing, including Return on Ad Spend and Return on Investment. You will be introduced to the importance of Customer Lifetime Value and how to forecast marketing outcomes using linear regression analysis.

In week three, you’ll dig into using experiments to evaluate marketing effectiveness. You’ll also learn about A/B testing and how it can help you optimize your campaigns.

In the final week, you will be introduced to marketing mix modeling and different attribution models and how to use them to make marketing strategy recommendations. You’ll wrap up the week by learning how to visualize and analyze sales funnels and how to use them to recommend next steps in a marketing campaign.