Foundations of marketing analytics

This course is intended for students, business analysts, and data scientists who want to apply their statistical knowledge and techniques to business situations. For example, it may be appropriate for experienced statisticians, analysts, and engineers who want to move into a more business-oriented role, particularly in marketing. If you have a background in statistics, can use R or another programming language, and are familiar with databases and data analysis techniques such as regression, classification, and clustering, you will find this course exciting and rewarding. It does, however, include a number of recitals and R Studio tutorials that will help you consolidate your knowledge, play more freely with data, and explore new features and statistical functions in R.

For good reason, business analytics, big data, and data science are hot topics right now. Companies have a treasure trove of data, but typically lack the skills and people to effectively analyze and exploit that data. Companies that develop the necessary skills and hire the right people to analyze and exploit data will have a distinct competitive advantage. This is especially true in one field: marketing. Approximately 90% of data collected by businesses today is related to customer actions and marketing activities. Marketing analytics is a vast field that includes topics as diverse as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on.

Highlights

• Market Segmentation
• Customer Lifetime Value
• Marketing Analytics
• Marketing Performance Measurement And Management

Duration: Approx. 5 Weeks
Coursera Rating: 4.6/5.0
Enroll here: coursera.org/learn/foundations-marketing-analytics