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    • Customer Analytics

    Customer Analytics Courses Online

    Learn customer analytics techniques for data-driven decision-making. Understand how to analyze customer data to improve business strategies.

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    Explore the Customer Analytics Course Catalog

    • I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Data Mining, Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Artificial Neural Networks, Business Strategy, Business Process Automation, ChatGPT

      4.7
      Rating, 4.7 out of 5 stars
      ·
      91K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Communicating Business Analytics Results

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Business Analytics, Data Visualization Software, Presentations, Data-Driven Decision-Making, Data Analysis, Business Analysis, Analysis, Technical Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      516 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Unilever

      Measurement and Analysis

      Skills you'll gain: Web Analytics, Digital Marketing, Google Analytics, Social Media Marketing, Search Engine Marketing, Social Media Strategy, Marketing Strategies, Search Engine Optimization, Marketing Analytics, A/B Testing, Social Media, Marketing Automation, Advertising Campaigns, Performance Analysis, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, R Programming, Automation, Computer Programming Tools, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70K reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Emory University

      Marketing Analytics Capstone Project

      Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Statistical Modeling, Data Analysis, Data Validation, Data Manipulation, Data Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      29 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      M

      Microsoft

      Customer Data, Analytics, and Segmentation

      Skills you'll gain: Sales Strategy, Customer Analysis, Customer Relationship Management (CRM) Software, Data Cleansing, Customer Insights, Cross Selling, Sales, Customer Data Management, Upselling, Sales Prospecting, Data Quality, Customer Relationship Management, Advanced Analytics, Data Integrity, Data Analysis, Personalized Service, Customer Engagement, Data-Driven Decision-Making, Data Integration

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Advanced Business Analytics Capstone

      Skills you'll gain: Data Storytelling, Data Cleansing, Predictive Analytics, Business Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Investment Management, Portfolio Management, Statistical Modeling, Regression Analysis, Business Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Data Science for Marketing

      Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Data Presentation, Statistical Hypothesis Testing, Customer Insights, Advanced Analytics, Bayesian Network

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Analytics, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Modeling, Data Visualization Software, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Data Transformation, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      598 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Business Analytics for Decision Making

      Skills you'll gain: Business Analytics, Risk Analysis, Decision Making, Business Intelligence, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    Customer Analytics learners also search

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    1…91011…301

    In summary, here are 10 of our most popular customer analytics courses

    • IBM AI Foundations for Business: IBM
    • Communicating Business Analytics Results: University of Colorado Boulder
    • Measurement and Analysis: Unilever
    • Introduction to Data Science: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Marketing Analytics Capstone Project: Emory University
    • Customer Data, Analytics, and Segmentation: Microsoft
    • Advanced Business Analytics Capstone: University of Colorado Boulder
    • Data Science for Marketing: University of Colorado System
    • Predictive Modeling and Analytics : University of Colorado Boulder

    Skills you can learn in Marketing

    Market (economics) (28)
    Social Media (15)
    Marketing Strategy (14)
    Analytics (13)
    Brand (13)
    Digital Marketing (13)
    Marketing Analytics (11)
    Plan (11)
    Advertising (9)
    Modeling (9)
    Social Media Marketing (9)
    Brand Management (7)

    Frequently Asked Questions about Customer Analytics

    Customer analytics is a method used by managers and business owners for making business decisions based upon past customer behavior. It uses tools like regression analysis, predictive analytics, and market segmentation to turn data into usable information that can be leveraged for the creation of direct marketing campaigns and other aspects of managing customer relationships. Behaviors customers have exhibited in the past are examined and used as a basis for predicting future behaviors. The information is then used to create campaigns that have an influence on future buying behaviors. This type of analysis serves as a solid basis for making business decisions.‎

    If you're considering a career in management, product development, or marketing, customer analytics is a valuable study area because it serves as the basis of good decision-making in the business world. Effectively applying real-world data about customer behavior using tools, such as predictive analytics, increases the likelihood of successful marketing campaigns. It also helps developers create products that deliver greater customer satisfaction. Additionally, when you have the tools and data on hand that tell you how customers responded to different circumstances in the past, you're able to explain and support the business decisions you make.‎

    Taking online courses on Coursera in customer analytics provides you with the knowledge you need to acquire in a convenient setting supported by experienced instructors. The learning starts with courses that cover the basic, introductory information that forms the foundation of learning customer analysis. The courses then offer the information that guides you all the way through the process of learning specific customer analysis techniques that provide you with information about marketing performance measurement and management. When you understand this customer-centric aspect of business analytics, you're able to apply it to the decisions you make regarding new marketing campaigns and any other business decisions you make that affect your company's customers.‎

    When starting to learn about customer analytics, you need to have strong reading and math skills. The earliest courses allow you to build a foundation of knowledge when beginning to study this area of business analytics. The specifics—such as how to use the data to create a decision tree you can use when making decisions for your job—develop as you work your way through the customer analytics and business analytics courses. Check the listing for information about the course level when choosing a customer analytics course. The courses are marked for beginners, intermediate level students, and advanced level students, which makes it easy for you to choose one that matches your knowledge base in this type of analytical field.‎

    Online Customer Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new Customer Analytics skills. Choose from a wide range of Customer Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Customer Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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