Marketing Analytics: Data Tools and Techniques

In an era where businesses are inundated with data, the ability to analyze and utilize this information effectively is a critical skill. Marketing Analytics: Data Tools and Techniques is designed to provide you with a comprehensive understanding of the methodologies and tools essential for data-driven marketing decision-making.

Marketing Analytics: Data Tools and Techniques will help you understand the tools and tactics used to make data-driven decisions for your company or business. Raghu Iyengar, a nonlinear pricing scheme researcher, applies real-world examples to explain how you can uncover actionable insights from sources like online transaction, customer survey, and advertising data.

By the end of this course, you’ll know how to better approach managerial problems from a data-savvy point of view and use analytics to tell a powerful narrative for your business.

Course Modules:

1. Introduction to Data Collection, Market Research, and Analysis

   • Understand the fundamentals of data collection and the importance of market research.
   • Learn about different types of data and how to analyze them to gain meaningful insights.

2. Regression

   • Explore the basics of regression analysis as a tool for historical data analysis.
   • Learn to apply regression techniques to understand the relationship between variables and make informed decisions.

3. Conjoint Analysis

   • Dive into conjoint analysis to understand consumer preferences and predict market trends.
   • Learn to design and interpret conjoint studies to inform product development and marketing strategies.

4. Social Media Analytics

   • Gain insights into the power of social media data.
   • Learn how to analyze social media metrics to measure campaign effectiveness and brand sentiment.

By the end of this course, you will have a robust toolkit of analytical methods and the confidence to use data to inform your marketing strategies and decisions. Whether you are looking to optimize pricing, enhance customer satisfaction, or measure the effectiveness of your advertising campaigns, this course will provide you with the skills and knowledge to succeed in the dynamic field of marketing analytics.