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Kamel Jedidi
and
Asim Ansari
Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.
Read more
Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.
Read more
Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.
Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).
In this course, part of the Business Analytics MicroMasters program, discover how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact for:
customer relationship management;
market segmentation;
value creation;
communication;
monetization.
You will learn how to use probabilistic models and optimization tools to model customer demand forecasts, pricing sensitivity, Lifetime Value and how to leverage such data to make optimal decisions on designing new products, marketing segmentation and strategy.
What you'll learn
- customer relationship management;
- market segmentation;
- value creation;
- communication;
- monetization.
- Demand forecasting using customer-base models and statistical approaches
- Market segmentation methods and best practices for identifying potential customer segments and focused targeting
- Computation of Customer Lifetime Value for analyzing customer, brand loyalty and forecasting revenue in the short and long run
- Factors to consider while designing and introducing new products to the market
- Calculating Optimal Pricing for products and services to get the best ROI
- Assessing Marketing ROI for making better and data-driven decisions
Register for this course and see more details by visiting:
OpenCourser.com/course/ejnzzq/marketing
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Teaches learners how to leverage data, statistical computation, and machine learning to drive effectiveness and ROI
Suitable for professionals in marketing or those interested in developing marketing analytics skills
May require a strong foundational knowledge in statistics and data analysis to fully grasp the concepts
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Marketing Analytics.
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Career center
Learners who complete Marketing Analytics will develop knowledge and skills
that may be useful to these careers:
Market Research Analyst
Market Research Analyst
Market Research Analysts determine how statistical data can be utilized to predict trends in the business world. They use a variety of statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will help you understand how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI), making you an ideal candidate for a Market Research Analyst.
Marketing Manager
Marketing Manager
Marketing Managers lead the development, execution, and evaluation of marketing campaigns. They use data and analytics to understand customer behavior and develop effective marketing strategies. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Marketing Manager.
Chief Marketing Officer
Chief Marketing Officer
Chief Marketing Officers (CMOs) are responsible for developing and executing marketing strategies that drive business growth. They use data and analytics to understand customer behavior and develop effective marketing campaigns. This course will help you understand how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI), making you a great candidate for a Chief Marketing Officer.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Data Analyst.
Statistician
Statistician
Statisticians use data to design experiments and analyze data. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Statistician.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investment opportunities. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Financial Analyst.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Risk Analyst.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. They use data and analytics to understand customer needs and develop products that meet those needs. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Product Manager.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to analyze financial markets and develop investment strategies. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Quantitative Analyst.
Customer Relationship Manager
Customer Relationship Manager
Customer Relationship Managers (CRMs) build and maintain relationships with customers. They use data and analytics to understand customer needs and develop strategies to improve customer satisfaction. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Customer Relationship Manager.
Sales Manager
Sales Manager
Sales Managers lead sales teams and develop sales strategies. They use data and analytics to understand customer behavior and develop effective sales strategies. This course will help you understand how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI), making you a strong candidate for a Sales Manager.
Business Analyst
Business Analyst
Business Analysts use data to analyze business problems and develop solutions. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Business Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. They use statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for an Operations Research Analyst.
Management Consultant
Management Consultant
Management Consultants help businesses solve problems and improve performance. They use data and analytics to identify opportunities and develop solutions. This course will help you understand how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI), making you an ideal candidate for a Management Consultant.
Data Scientist
Data Scientist
Data Scientists use data to solve complex business problems. They use a variety of statistical techniques and analytical methods to transform raw data into actionable recommendations. This course will teach you how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact, making you a strong candidate for a Data Scientist.
For more career information including salaries, visit:
OpenCourser.com/course/ejnzzq/marketing
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Time
5940 hours
Level
Introductory
Via
edX
Institutions
Columbia University
ColumbiaX
Instructors
Kamel Jedidi
Asim Ansari
This course belongs to a
collection
called
Business Analytics. It's comprised of six courses:
Good to know
Teaches learners how to leverage data, statistical computation, and machine learning to drive effectiveness and ROI
Suitable for professionals in marketing or those interested in developing marketing analytics skills
May require a strong foundational knowledge in statistics and data analysis to fully grasp the concepts
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