Customer analytics courses take you through analytics to help you make informed business decisions

Customer analytics helps businesses break big problems into manageable answers. When companies need to look at how their customers behave, either as individuals or overall, customer analytics decodes their actions so that they're easier to understand. This helps companies make better decisions on pricing, promotion, and management. 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 as available in Coursera.

Customer Analytics

Offered by: University of Pennsylvania

In this course, four of Wharton's top marketing professors will provide an overview of 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 an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics and is not intended to prepare learners to perform customer analytics.

Organizational Leadership Specialization

Offered by: Northwestern

Throughout the five courses, you will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. You will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, You will learn how organizations start with the clarity of purpose that comes from an understanding of customers' needs, including leveraging data analytics and using that focus to drive the design of products and services to meet those needs effectively.

Marketing analytics: Know your customers

Offered 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 advancements in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints across the customer analytics journey make it increasingly difficult to measure effectiveness.

Create an Employee Feedback Survey with TypeForm

Offered by: Coursera Project Network

This project is an introductory level course intended for business professionals who would like to collect employee feedback using interactive forms. The project will focus on the basics of creating an interactive form. We will learn about the different types of questions available, themes. and sharing our survey. At the end of the project, the learner will be able to design their professional dynamic form for collecting employee feedback. This project will talk briefly about sharing the survey with respondents.

Marketing Analytics

Offered by: University of Virginia

This course, developed at the Darden School of Business at the University of Virginia, 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'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.

Business Analytics Specialization

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

Gender Analytics: Gender Equity through Inclusive Design Specialization

Offered by: Institute for Gender and the Economy

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

Strategic Business Analytics Specialization

Offered 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 background in statistics, R, or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering. The course will cover a wide variety of analytics approaches in different industry domains.

Unsupervised Machine Learning for Customer Market Segmentation

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 since it enables them to launch targeted ad marketing campaigns that are tailored to customers' specific needs.

Demand Analytics

Offered by: Rutgers the State University of New Jersey

Upon the completion of this course, you will be able to improve the forecasting accuracy by building and validating demand prediction models, better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact.