With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them. The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e.g., sales) and on individual-level choice data (e.g., brand choices).
Ce cours fait partie de la Spécialisation Foundations of Marketing Analytics
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Spécialisation Foundations of Marketing AnalyticsUniversité EmoryÀ propos de ce cours
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- Basic Descriptive Statistics
- Data Analysis
- Microsoft Excel
- Marketing
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Programme de cours : ce que vous apprendrez dans ce cours
Meet Dr. Schweidel & Course Overview
Exploring your Data with Visualization and Descriptive Statistics, Part 1
Exploring your Data with Visualization and Descriptive Statistics, Part 2
Regression Analysis for Marketing Data
Avis
- 5 stars56,06 %
- 4 stars25,94 %
- 3 stars9,62 %
- 2 stars2,09 %
- 1 star6,27 %
Meilleurs avis pour MEANINGFUL MARKETING INSIGHTS
Sometimes a bit heavy on the math but overall a very good analysis of how data and analytics are applied to real world marketing scenarios. One of the best structured courses I've taken on Coursera.
One of the best courses on analytics. You will use excel, real data, and your own insights. It's a package.
The last 2 video lectures: Customer Valuation Excel Demonstration and Inventory Management Excel Demonstrationm were very well explained and taught me something new and useful.
It was an amazing course. But i found some of the statistical models difficult to understand so needed to go back and review my statistics a bit to grapple with it. Overall, a brilliant course.
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