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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

    • Status: Free Trial
      Free Trial
      K

      Keller Williams

      The Principles of Real Estate

      Skills you'll gain: Lead Generation, Real Estate, Real Estate Sales, Property and Real Estate, Customer Relationship Building, Sales Prospecting, Prioritization, Goal Setting, Market Data, Market Analysis, Customer Relationship Management, Market Trend, Compensation Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Product Management: Foundations & Stakeholder Collaboration

      Skills you'll gain: Innovation, Product Management, New Product Development, Stakeholder Engagement, Competitive Analysis, Product Strategy, Business Development, Product Lifecycle Management, Market Analysis, Communication, Stakeholder Management, Strategic Communication, Team Building

      4.6
      Rating, 4.6 out of 5 stars
      ·
      254 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Digital Marketing Institute

      Social Media and Digital Marketing Fundamentals

      Skills you'll gain: Digital Media Strategy, Social Media Marketing, Content Marketing, Digital Marketing, Marketing, Social Media, Marketing Strategies, Digital Content, Social Media Strategy, Integrated Marketing Communications, Consumer Behaviour, Digital Transformation, Content Strategy, Scheduling, Target Audience, Customer Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      353 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      440 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Application of AI, InsurTech, and Real Estate Technology

      Skills you'll gain: FinTech, Financial Services, Emerging Technologies, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML), Real Estate, Insurance, Artificial Intelligence, Investment Management, Asset Management, Market Trend, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      560 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Salesforce Fundamentals

      Skills you'll gain: Salesforce, Data Quality, Data Modeling, Data Integration, Business Process Automation, Salesforce Development, Email Marketing, Data Security, Data Cleansing, Data Management, Process Design, User Accounts, Customer Relationship Management (CRM) Software, Customer Engagement, Dashboard, Customer Relationship Management, Business Reporting, Administration, Automation, Role-Based Access Control (RBAC)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      257 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Advanced Programmer

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Program Development, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Statistical Programming, Data Integration, Data Manipulation, Data Structures, Data Transformation, Debugging, Data Validation, Data Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      399 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Ethics in the Age of AI

      Skills you'll gain: Data Ethics, Predictive Modeling, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Artificial Intelligence, Information Privacy, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Personally Identifiable Information, Statistical Modeling, Analytical Skills, Analysis, Data Security, Business Ethics, Vulnerability Assessments, Risk Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      782 reviews

      Beginner · Specialization · 3 - 6 Months

    Customer Analytics learners also search

    Customer Success
    Customer Insights
    Marketing Analytics
    Business Analysis
    Market Research
    Economic Policy
    Business Statistics
    Business English
    1…555657…310

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

    • The Principles of Real Estate: Keller Williams
    • Product Management: Foundations & Stakeholder Collaboration: SkillUp EdTech
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Social Media and Digital Marketing Fundamentals: Digital Marketing Institute
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Application of AI, InsurTech, and Real Estate Technology: University of Pennsylvania
    • Salesforce Fundamentals: University of California, Irvine

    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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