Best Customer Analytics Courses Online & Certification (April 2025)

Learn what’s going on in your customer’s minds with customer analytics. This cutting-edge data analysis technique is the best way to identify what excites your customers about the product and predict their needs. In this digital era, companies must know the value of their customers and prepare marketing strategies based on customer behavior.

Whether you’re a marketing professional, small business owner, or entrepreneur, the best customer analytics courses will equip you with the skills to understand your customers, increase loyalty, and boost revenue. The reasons must be more comprehensive to encourage you to join an online customer analytics course. Let’s discuss the importance of this fantastic technique for businesses. 

Why is it essential to learn customer analytics?

Customer analytics help you know your customers through collected data. Businesses are investing in hiring more people who are skilled in customer analysis. A professional analyst can gather and analyze data that helps to understand what customers are looking for and how they interact with the products/services. Each actionable insight allows businesses to enhance customer engagement, identify new market opportunities, expand market share and revenue, and gain profitability. 

According to Mordor Intelligence, the customer analytics market size is expected to grow at a CAGR of 19% between 2024-2029 and reach almost USD 30 billion by 2029. The employment rate of market research analysts, including customer analysts, is expected to grow 13% between 2022 and 2032, as the Bureau of Labor Statistics report says. The annual salary of customer analysts in the USA is $90,657 per year, according to a survey from Indeed.com.

Unlock the secrets of customer analytics with our list of the best customer analytics courses and certifications. Explore them based on your career needs, business goals, and pros and cons.

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Best Customer Analytics Courses, Certification, Tutorials, Training, Classes Online

Learn Customer Analytics Online [Coursera]

Ready to upgrade your knowledge with the customer analytics course. It is designed to guide through all critical aspects of customer analytics, including descriptive, predictive, and prescriptive analytics. You will learn how these technical aspects are applied to real-world business practices like Amazon, Google, and Starbucks.

Course Instructor

Eric Bradlow, Peter Fader, Raghu Iyenar, and Ron Berman will teach the Customer Analytics Coursera Certification. All four instructors are faculty members at the University of Pennsylvania.

What you’ll learn

The Coursera customer analytics course offers an overview of analytics in five basic modules, helping you make better business decisions.

1. Introduction: The first module introduces customer analytics and provides a brief overview of what you’ll learn in this structured course.
   
   
2. Descriptive Analysis: This module will begin by helping you understand what data can describe customer behavior and the difference between data describing casual relationships and data describing a correlation. In addition, it will explain how effective data is used to create solutions, products, and marketing campaigns. 
   
   
3. Predictive Analytics: In this module, you will learn about the tools for predicting customer behavior and test them to determine which are suitable for making decisions. Moreover, it will teach you about the different languages and frameworks for making predictions. 
   
   
4. Prescriptive Analytics: In this fourth module, you’ll learn how to ask the right questions, define objectives, and optimize for success. You’ll also discover how to examine prescriptive models and write prescriptions for data-driven actions to lead businesses to success. 
   
   
5. Case Studies: The last module will share case studies of successful businesses and how they used data to develop customer-focused marketing strategies. You’ll also gain experience with real-world examples of five-pronged attacks and learn how to use them to apply customer analytics to marketing. 

Pros & Cons

Key Highlights & Learning Objectives

• Learn how to use the primary techniques of customer data collection for businesses and how to use gathered data to make informed business choices.
  
  
• Gain a deep understanding of the main tools used to predict customer behavior. 
  
  
• Discover the essential concepts about customer analytics and how to communicate or use them to improve the company’s decisions.
  
  
• Explain the history and the latest practices of customer analytics utilized at leading organizations.
  
  
• Access 40+ videos, 8+ reading materials, and 5+ quizzes to enhance your knowledge.

Who is it for?

The online customer analytics course is perfect for beginners who want to learn about customer analysis and its techniques for improving business. However, it is not designed to prepare learners for applying customer analytics. After completing the course, you will be prepared to use data for your company and earn a shareable certificate to upgrade your career.

Master Customer Analytics [Columbia Business School]

Build your knowledge of corporate valuation with this course. You will learn how to take your financial success to the next level by understanding how to evaluate an organization for strategic goals. The basics of corporate valuations will help you in mergers and acquisitions, business restructurings, shareholder disputes, employee stock, and more. During this course, you will examine a variety of methodologies that financial experts prefer to determine the value of an organization, including the cash flow, different inputs, liquidity,  and dealing with other currencies in cross-border deals.

Course Instructor

Study the Columbia Business Corporate Valuation Course with Daniel Wolfenzo, a Nomura Professor of International. He has years of experience teaching economics at the University of Michigan, NYU, and the University of Chicago. He is a faculty research member at the National Bureau of Economic Research.

Pros & Cons

Key Highlights & Learning Objectives

• This corporate valuation course is divided into 6 modules to determine the value of an organization. 
  
  
• Get a structured understanding of corporate governance and its principles, like 
  
  
• Learn how to calculate a company’s value using the discounted cash flow (DCF)
  
  
• Explore various methodologies to aid your decision-making.
  
  
• Learn how to use a framework to analyze the financial and economic aspects of the company that impact the valuation.
  
  
• Compare the different valuation methodologies used for mergers and acquisitions, leveraged buyouts, cross-border valuations, and private enterprises to create maximum value in each case.

Who is it for?

This Customer Analytic Course for corporate valuation is for financial professionals, investors, and business owners who manage strategic planning, risk management, research, or business development. Once you finish all modules, you will become familiar with corporate valuation and apply the knowledge you have gained to the business you’re handling.

Customer Analytics for Marketing [Coursera]

Are you involved in creating your company’s marketing strategy? You must like this online customer analytics course to maximize customer value. Throughout the marketing customer analytics tutorial, the instructor will help you understand traditional and digital marketing metrics and develop marketing strategies to deliver customers the product they want from the right platform at the right time.

Course Instructor

Ray Welling is the instructor and creator of this Coursera Customer Analytics with Marketing Course.  His career as a marketing academic in digital and media industry experience encouraged him to share his teaching experience with students worldwide. Besides this course, he published a book called Digital Disruption & Transformation: Lessons from History in 2018.

What you’ll learn

The Customer Analytics Coursera Course includes 6 modules to learn simple ways to know your customer through predictive analysis and descriptive analysis. 

1. The Primacy of Customer Value: This module will introduce you to how to value your customers and move your business from a product-centric model to a customer-centric model. 
   
   
2. Types of Customers: In this second-week module, you will gather and analyze all customer data. Not only this, but you will also learn to balance the ease of data collection and analysis with its usefulness to your business and balance the relevance/importance of collected data against the cost of obtaining data.
   
   
3. Tools for Analyzing Data: This week’s module will introduce various tools used by small and big organizations to gather and analyze the optimal amount of customer data. You will also learn how to determine which questions will help you find the relevant customer data.
   
   
4. Use Tools for Insights: This week, you will understand how to combine several data types to create a relevant picture of your clients. With the customer-centric frameworks, you will better understand your customers, what they want, and how to restructure your business to fulfill their demands.
   
   
5. Using Customer Data to Build Strategy: This module teaches you how to combine the insights you’ve gained about your customers with other information. This mixture of information helps create a strategy to bridge the gap between your customer’s needs and business growth.
   
   
6. Learn Digital Marketing to Improve Customer Value: This module will teach you to use digital and social media marketing to optimize customer value instead of engaging in interruption marketing.

Pros & Cons

Key Highlights & Learning Objectives

• Learn about the value of the customer and how to analyze the customer data for your organization.
  
  
• Discover the types of customer data collected using traditional and digital marketing metrics. 
  
  
• Learn about the tools and frameworks used to determine what data works best for business and how to solve the gap between customer and company. 
  
  
• Gain insights by analyzing customer data and using relevant insights to understand the current situation and drive marketing strategy.
  
  
• Develop digital marketing knowledge to analyze customer data from social media and other digital platforms. 
  
  
• Get lifetime access to 30 videos, 10+ reading materials, and 10+ quizzes to deepen your knowledge. 

Who is it for?

Marketing professionals and market analysts who create strategies can apply to this marketing analytics course from Coursera. By the end, you will deeply understand customer and marketing analytics and use what you’ve learned to improve products/services and serve your customers nicely.

Customer Analytics with Python [Udemy]

The customer analytics certification in Python combines marketing with data science. You will be taught how to perform customer analytics theory with some marketing methodologies. This online customer analytics course explains descriptive analysis and elasticity modeling for purchase probability, quantity, and brand choice. Moreover, you will learn about the Tensorflow 2.0 framework to create a neural network and black-box model for predicting your customers’ future.

Course Instructor

This Udemy Customer Analytics Course was created by 365 Careers, an online training company founded by Illiya Valchanov. 365 is a group of professionals from various backgrounds, including business, management, economics, business intelligence, data science, and related fields.

Pros & Cons

Key Highlights & Learning Objectives

• The Udemy Customer Analytics in Python Course comprises 13 sections and video lectures. Each section has over 2 -5 lectures, lasting between 15 -40 mins.
  
  
• Discover the types of analysis used by small and large companies. 
  
  
• Gain an understanding of marketing fundamentals such as segmentation, targeting, positioning, marketing mix, and price elasticity.
  
  
• Learn how to perform K-means clustering with customer analytics and Principal Components Analysis (PCA) on data processing. 
  
  
• Develop knowledge of how to deploy models on different datasets.
  
  
• Explore model purchasing through probability, set model brand choice by exploring own price, and predict purchase quantity. 
  
  
• Exercise the power of deep learning to anticipate customers’ future behavior.

Who is it for?

Whether you want to build a career in data science or business intelligence, this customer analytics course with a certificate is the ultimate solution. It is also the best course for those interested in excelling in numbers and quant analysis. However, it requires proper Python programming and data science skills.

Customer Analytics using Digital Marketing [edX]

Look at this consumer insights and analytics course, where you will learn about customers’ lifetime value concept. Whatever concepts are discussed in this tutorial, you can apply them to convert digital marketing data insights into customer insights.

Course Instructor

Learn about digital customer analytics with P.K. Kannan, a professor of marketing, and Merth Beth Furst, an associate clinical professor. Both instructors have been teaching as faculty in the marketing department at the University of Maryland.

Pros & Cons

Key Highlights & Learning Objectives

• This edX customer analytics certification covers all key concepts in 6 modules, allowing you to discover the power of customer lifetime value.
  
  
• Transform your digital marketing data insights into customer insights and selection strategies using customer lifetime value principles.
  
  
• Learn to benefit from cutting-edge research and valuable consumer engagement tools and techniques.
  
  
• Develop knowledge of how to generate customer value and analyze marketing initiatives.
  
   
• Gain the ability to manage customer churn or loyalty programs and use them to find long-term solutions.
  
  
• Explore how customer value impacts the business and use direct-to-consumer models and valuation techniques for analysis.

Who is it for?

Enroll in this online digital customer analytics certificate course if you’re a professional marketing manager, data analyst, customer relationship manager, or strategist. The professionals with these designations can easily grasp the concepts mentioned here. When you finish the course, you can harness the ideas of customer lifetime value using firm value, customer selection, and loyalty programming.

Customer Analytics with A/B Testing using Python [Coursera]

TDatacamp brings you the perfect customer analytics class to gain the proper knowledge of customers and determine their needs through data analysis. You will perform customer analysis and learn how to practice Python to create, run, and analyze A/B tests. By combining Customer analytics and A/B Testing, you will build expertise in helping businesses make informed decisions that generate value.

Course Instructor

TRyan Grossman is the instructor of this Datacamp Customer Analytics in Python Class and is currently working as a Data Scientist at EDO Inc., a data science software company.  He has also spent a few years analyzing customer data and A/B tests as a member of the Business Analytics team at Tinder.

Pros & Cons

Key Highlights & Learning Objectives

• The Datacamp customer analytics online class is divided into 4 modules.
  
  
• Learn to identify and design meaningful KPIs using critical thinking and Python tools.
  
  
• Explore customer behavior by visualizing, manipulating, and exploring KPIs and work with datetime objects to calculate metrics per unit time.
  
  
• Discover how to identify issues using exploratory data analysis of customer data.
  
  
• Learn the mathematics and skills for designing and successfully planning an A/B test. 
  
  
• Discuss how to properly analyze and explain the results after analyzing A/B tests.
  
  
• You will have full lifetime access to a four-hour class, 16 video lectures, 49 practice exercises, and a statement of accomplishment. 

Who is it for?

Upgrade your knowledge with this customer analytics in a Python online course from Datacamp. People responsible for making business decisions should go through this tutorial first.  Ensure you can manipulate data using Pandas and Python data science toolbox.

Demand Customer Analytics [Coursera]

TWith this customer analytics certification course, you can learn the demand analytical skills needed for planning and forecasting. The demand analysis helps to determine the accurate demand forecast that increases the company’s revenue and reduces the product cost.

Course Instructor

The Coursera demand analytics course will be taught by Dr. Yao Zhao,  professor of supply chain management at Rutgers, the State University of New Jersey. His interests in supply chain management, analytics, and healthcare helped create this tutorial to help people from across the world.  Besides this, he is the author of various journals, including Operations Research, Manufacturing & Service Operations Management (M&SOM), and more.

What you’ll learn

The Coursera customer analytics certification includes 4 modules to understand how to stimulate demand. 

1. Introduction: The first module will tell the story to help you understand demand analytics better. It explains the basic principles of demand planning and forecasting and how they suit the company’s integrated business planning.
   
   
2. Predicting Trend: Whatever you learned in the first module will be applied to build and interpret a linear model to determine the latest trend. This week, you will also cover different techniques for building models, such as data collection, pre-processing, and visualization. 
   
   
3. Predict the Impact of Factors: The third module will focus on improving and validating the model. The model built in this lesson will be utilized to identify missing variables and then make a multiple regression model. The regression models are used to catch the trend in demand and the impact of price and other environmental factors.
   
   
4. Predicting Seasonality: The previous module covered how to build a demand forecasting model. In the final module, you will add seasonality to improve the model and catch the periodic patterns in the errors. The module will conclude by teaching how to create and test your forecast.

Pros & Cons

Key Highlights & Learning Objectives

• Understand how demand analytics is crucial in supply chain management and marketing.
  
  
• Learn how to use data analysis to predict demand based on various factors, such as trends, seasonality, price elasticity, and other environmental factors.
  
  
• Develop knowledge on determining the critical drivers for demand and calculating their impact.
  
  
• Get to focus on building, validating, and improving forecasting models through continuous and categorical variables.
  
  
• Able to stimulate the demand and achieve the business goals through forecasting models.
  
  
• Free lifetime access to 12+ videos, 8 reading materials, 5 quizzes, 3 discussion prompts, and 4 peer review sessions.

Who is it for?

Embrace the opportunity to learn from the best-demand analytics courses online. It doesn’t require any experience.  However, it is part of the supply chain analytics specialization, so you must take the previous courses for a better understanding.

FAQ

Last Thought

Whatever your goal, every type of customer analytics course is available on the list. Pick the best one that meets your learning requirements and helps you achieve the desired results. Read the key highlights and pros and cons carefully, or check the course page to find out which one is more suitable for you. If there’s any course we have missed mentioning, let us know in the comment section.