Top 10 Online Customer Analytics Courses To Master In 2022


by Aratrika Dutta

January 30, 2022

Customer Analytics courses guide you through analysis to help you make informed business decisions

Customer analytics helps companies break down big problems into manageable answers. When companies need to look at the behavior of their customers, whether individual or global, customer analytics decodes their actions so they are easier to understand. This helps businesses make better pricing, promotion, and management decisions. Customer analytics is the process companies use to capture and analyze customer data to make better decisions. This article lists the top 10 customer analytics courses available in Coursera.

Customer Analytics

Proposed by: University of Pennsylvania

In this course, four of Wharton’s top marketing professors will provide insight into key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics and their application to real-world business practices including Amazon, Google and Starbucks, to name a few. . This course provides insight into the field of analytics so you can make informed business decisions. It is an introduction to customer analysis theory and is not intended to prepare learners to perform customer analysis.

Organizational Leadership Specialization

Proposed by: North West

Throughout the five courses, you’ll learn how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. You will discover how leaders communicate through storytelling and use other communication strategies to influence. Plus, you’ll learn how organizations start with the clarity of purpose that comes from understanding customer needs, including harnessing data analytics and using that focus to drive product design. and services to effectively meet these needs.

Marketing Analytics: Know Your Customers

Provided by: Macquarie University

Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews, and written assessments), this course will teach you what to measure – and how – to maximize customer value. Rapid advances in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints along the customer analytics journey make it increasingly difficult to measure effectiveness.

Create an Employee Satisfaction Survey with TypeForm

Submitted by: Coursera Project Network

This project is an introductory level course for professionals who want to collect employee feedback using interactive forms. The project will focus on the basics of creating an interactive form. We are going to learn more about the different types of questions available, the topics. and share our survey. At the end of the project, the learner will be able to design his professional dynamic sheet for collecting feedback from employees. This project will briefly discuss sharing the survey with respondents.

Marketing Analytics

Proposed by: University of Virginia

This course, developed at the University of Virginia’s Darden School of Business, gives you the tools to measure brand and customer analytics assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You will leave the course with a solid understanding of how to use marketing analytics to predict results and systematically allocate resources.

Business Analytics Specialization

Proposed by: University of Pennsylvania

This specialization provides an introduction to big data analytics for all professionals, including those with no prior analytics experience. You will learn how data analysts describe, predict and inform business decisions in the specific areas of marketing, human resources, finance and operations, and you will develop a basic knowledge of data and an analytical mindset that will enable you to will help make strategic decisions based on data.

Gender Analysis: Gender Equality through Inclusive Design Specialization

Offered by: Institute for Gender and Economics

In this course, you will examine how policies, products, services and processes have gendered impacts that miss opportunities or create unnecessary risks, violate norms that perpetuate exclusion in serving clients/beneficiaries, familiarize with concepts such as sex, gender identity and intersectionality, learn qualitative and quantitative analytical techniques to uncover intersectional gender-based insights, use human-centered design to create innovative solutions, become a transformational leader.

Specialization in Strategic Business Analysis

Proposed by: ESSEC Business School

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. It is recommended that you have some experience in statistics, R or another programming language, and that you are familiar with databases and data analysis techniques such as regression, classification and clustering. The course will cover a wide variety of analytical approaches in different areas of industry.

Unsupervised machine learning for customer market segmentation

Submitted by: Coursera Project Network

In this hands-on guided project, you will be trained on unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers as it allows them to launch targeted advertising marketing campaigns tailored to specific customer needs.

Demand Analysis

Provided by: Rutgers, State University of New Jersey

Upon completion of this course, you will be able to improve forecast accuracy by creating and validating demand forecasting models, better drive and influence demand by identifying drivers (e.g. weather, seasonality, price and other environmental factors) for demand and quantify their impact.

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