Data Analytics Methods for Marketing
- Offered byCoursera
Data Analytics Methods for Marketing at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Analytics Methods for Marketing at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 6 in the Facebook Marketing Analytics
- Beginner Level No experience is needed to start this course. Prerequisites: The first three courses in this program.
- Approx. 12 hours to complete
- English Subtitles: English
Data Analytics Methods for Marketing at Coursera Course details
- This course explores common analytics methods used by marketers. You'll learn how to define a target audience using segmentation with K-means clustering. You'll also explore how linear regression can help marketers plan and forecast. You'll learn to evaluate the effectiveness of advertising using experiments as well as observational methods and you'll explore methods to optimize your marketing mix; marketing mix modeling and attribution. Finally, you'll learn to evaluate sales funnel shapes, visualize and optimize them
- This course is for people who want to learn how to plan and forecast your marketing efforts as well as evaluate your marketing methods and sales funnels for optimization.
- Learners don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally learners have already completed course 1 (Marketing Analytics Foundation), course 2 (Introduction to Data Analytics), and course 3 (Statistics for Marketing) in this program.
Data Analytics Methods for Marketing at Coursera Curriculum
Find Your Audience With Segmentation
Introduction to the Facebook Marketing Analytics Professional Certificate Program
Introduction to Data Analytics Methods for Marketing
Introduction to Anke Audenaert
Careers in Marketing and Marketing Analytics
Introduction: Find Your Audience with Segmentation
The Importance of Segmentation in Marketing
Examples of Segmenting Audiences
Programmatic Creative From Audience Segments
Customer Data Platforms (CDP)
Segmentation Using Clustering
K-Means Clustering
Determining the Number of Clusters
Describing Segments
Weekly Summary: Find Your Audience with Segmentation
Data Analytics Methods for Marketing Course Syllabus
How to be Successful in this Program
Community Guidelines
Different Approaches to Segmentation
Practice Quiz: Segmentation in Marketing
Practice Quiz: Cluster Analysis
Graded Quiz: Segmentation
Analytics for Planning and Forecasting
Introduction: Analytics for Planning & Forecasting
The Sales Funnel & Descriptive Marketing Metrics
Descriptive vs. Predictive Metrics
Return on Ad Spend (ROAS) And Return on Investment (ROI)
Customer Profit
KPIs, Reports and Dashboards
Customer Lifetime Value and Why it Matters
Calculating Customer Lifetime Value
Customer Lifetime Value: Example
Introduction: Linear Regression
Linear Regression
Linear Regression Continued
Using Linear Regression to Forecast Marketing Outcomes
Different Forms of Regression Analysis
Weekly Summary: Analytics for Planning & Forecasting
3 Ways to Calculate Profit Margins
Different Approaches to Calculating CLTV
Example: Using Linear Regression to Forecast a Marketing Outcome
Practice Quiz: Descriptive Methods
Practice Quiz: Customer Lifetime Value
Graded Quiz: Planning and Forecasting
Evaluating Advertising Effectiveness
Introduction: Evaluating Advertising Effectiveness
Understanding Advertising Effectiveness
Observational and Experimental Methods for Ad Effectiveness Evaluation
Formulating a Hypothesis
What is an Experiment?
Random Controlled Trials
Intention to Treat
Interpreting Results of an Experiment
A/B Testing
Single Cell, Multi-Cell and Nested Tests
Weekly Summary: Evaluating Advertising Effectiveness
Deciding on the Use of Experimental or Observational Methods
Practice Quiz: Ad Effectiveness Measurement
Practice Quiz: Measuring Ad Effectiveness with Experiments
Graded Quiz: Evaluating Advertising Effectiveness
Optimizing Your Marketing Mix
Introduction: Optimizing your Marketing Mix
What are Marketing Mix Models?
How does Marketing Mix Modeling Work?
Making Recommendations Based on Marketing Mix Modeling
What is Attribution?
Single Touch Attribution
Multi-Touch Attribution
Challenges When Measuring Across Channels
Introduction to Sales Funnel Analysis
Dropoff in Sales Funnels
Sales Funnel Shapes
Visualizing a Sales Funnel in Tableau
Weekly Summary: Optimizing Your Marketing Mix & Sales Funnel
Course Summary & Congratulations!
Evaluating Results of Marketing Mix Modeling
Attribution Models Reference Guide
Sales Funnel Reference Sheet
Visualizing a Sales Funnel in Tableau Summary
Practice Quiz: Marketing Mix Modeling
Practice Quiz: Attribution
Practice Quiz: Sales Funnel Analysis
Graded Quiz: Optimization
Data Analytics Methods for Marketing Final Quiz
Data Analytics Methods for Marketing at Coursera Admission Process
Important Dates
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