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Raghu Iyengar

Businesses today have access to an increasingly large amount of detailed customer data, and this influx of data is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business. This valuable data may include in-store and online customer transactions, customer surveys as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results.

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Businesses today have access to an increasingly large amount of detailed customer data, and this influx of data is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business. This valuable data may include in-store and online customer transactions, customer surveys as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results.

This course is part of Wharton's Digital Marketing Professional Certificate. For more information, see here.

What you'll learn

  • Regression Analysis: modeling cause and effect
  • Conjoint Analysis: valuing attributes and measuring preference
  • Social Media Analytics
  • New Techniques in Market Research

What's inside

Learning objectives

  • Regression analysis: modeling cause and effect
  • Conjoint analysis: valuing attributes and measuring preference
  • Social media analytics
  • New techniques in market research

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops Regression Analysis and Conjoint Analysis, which are core skills for data-driven decision making
Taught by Raghu Iyengar, who is recognized for their work in marketing analytics
Examines Social Media Analytics and New Techniques in Market Research, which are highly relevant to marketing professionals
Provides hands-on labs and interactive materials for practical application

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Career center

Learners who complete Marketing Analytics: Data Tools and Techniques will develop knowledge and skills that may be useful to these careers:
Statistician
Statisticians collect, analyze, interpret, and present data to help businesses make informed decisions. This course aligns well with the work of statisticians as it covers regression analysis, conjoint analysis, and social media analytics, all of which are essential skills for understanding and interpreting data.
Social Media Manager
Social media managers are responsible for developing and executing social media campaigns to promote products and services. This course aligns well with the work of social media managers as it covers social media analytics, which is essential for understanding customer behavior and developing effective social media strategies.
Market Research Analyst
Market research analysts study market trends, customer behavior, and industry dynamics to help businesses make informed decisions. This course aligns well with the work of market research analysts as it covers social media analytics and new techniques in market research, both of which are essential to understanding customer behavior in the digital age.
Data Analyst
Data analysts collect, clean, and analyze data to help businesses make informed decisions. This course provides a strong foundation for aspiring data analysts by covering regression analysis, conjoint analysis, and social media analytics, all of which are relevant skills in the field of data analysis.
Marketing Manager
Marketing managers develop and execute marketing campaigns to promote products and services, and they rely on data to make informed decisions. This course aligns with the work of marketing managers by covering regression analysis, conjoint analysis, and social media analytics, which are essential skills for understanding market trends and developing effective marketing strategies.
Business Analyst
Business analysts help businesses improve their performance by analyzing data and identifying opportunities for improvement. This course aligns well with the work of business analysts as it covers regression analysis, which is a method used to model cause and effect relationships, and conjoint analysis, which is used to value attributes and measure preference, both of which are essential skills for understanding business processes and making informed decisions.
Operations Research Analyst
Operations research analysts use data to solve problems and improve the efficiency of operations in a variety of industries. This course aligns well with the work of operations research analysts as it covers regression analysis, which is a method used to model cause and effect relationships, a critical skill for understanding business processes and making informed decisions.
Web Analyst
Web analysts track and analyze website traffic to understand how users interact with a website, and they provide feedback to designers and developers to improve the website's performance. This course aligns well with the work of web analysts as it covers social media analytics, which is essential for understanding how users interact with websites through social media channels.
User Experience (UX) Researcher
User experience researchers study how users interact with products and services, and they provide feedback to designers and developers to improve the user experience. This course may be useful for aspiring user experience researchers by covering regression analysis, conjoint analysis, and social media analytics, all of which are relevant skills in the field of user experience research.
Consultant
Consultants help businesses solve problems and improve their performance. This course may be useful for aspiring consultants by covering regression analysis, conjoint analysis, and social media analytics, all of which are relevant skills in the field of consulting.
Pricing Analyst
Pricing analysts help businesses set prices for their products and services. This course may be useful for aspiring pricing analysts by covering conjoint analysis, which is a method used to value attributes and measure preference, a critical skill for understanding customer needs and developing pricing strategies.
Product Manager
Product managers are responsible for the development and launch of new products and services. This course may be useful for aspiring product managers by covering conjoint analysis, which is a method used to value attributes and measure preference, a critical skill for understanding customer needs and developing successful products.
Financial Analyst
Financial analysts provide financial advice to individuals and businesses, and they rely on data to make informed decisions. This course may be useful for aspiring financial analysts by covering regression analysis, which is a method used to model cause and effect relationships, a critical skill for understanding financial data and making investment decisions.
Quantitative Analyst
Quantitative analysts build financial models, design investment strategies, and manage risk for banks, hedge funds, and other financial institutions. This course may be useful for aspiring quantitative analysts by covering regression analysis, which is a method used to model cause and effect relationships, a critical skill for understanding financial data and making investment decisions.
Risk Analyst
Risk analysts assess the financial and non-financial risks faced by businesses and develop strategies to mitigate those risks. This course may be useful for aspiring risk analysts by covering regression analysis, which is a method used to model cause and effect relationships, a critical skill for understanding the factors that contribute to risk.

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