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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
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Agile Development

      Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Analytics, Business Analytics, Sprint Retrospectives, Product Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Atlassian

      Agile with Atlassian Jira

      Skills you'll gain: Jira (Software), Agile Methodology, Scrum (Software Development), Kanban Principles, Agile Project Management, Lean Methodologies, Backlogs, Sprint Planning, Sprint Retrospectives, User Story, Workflow Management, Issue Tracking, Configuration Management, Query Languages, Software Versioning, Administration, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Custom Reports in Google Analytics

      Skills you'll gain: Google Analytics, Ad Hoc Reporting, Data Literacy, Data Compilation, Analytics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google

      From Likes to Leads: Interact with Customers Online

      Skills you'll gain: Social Media Strategy, Social Media Marketing, Content Creation, Social Media Campaigns, Social Media Management, Marketing Analytics, Customer Engagement, Digital Advertising, Brand Awareness, Advertising, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI For Business

      Skills you'll gain: AI Personalization, Generative AI, Data Ethics, HR Tech, Data Governance, Big Data, Machine Learning, Personally Identifiable Information, Data Security, Governance, Business Strategy, Human Resources, Organizational Strategy, Customer Data Management, Credit Risk, Risk Management, Tensorflow, Personalized Service, Data-Driven Decision-Making, People Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Logistics

      Skills you'll gain: Warehouse Management, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics, Logistics, Transportation Operations, Supply Chain Management, Supply Chain, Customer Service, Operating Cost

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

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    1…171819…306

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

    • Genomic Data Science: Johns Hopkins University
    • Introduction to Data Science in Python: University of Michigan
    • Agile Development: University of Virginia
    • R Programming: Johns Hopkins University
    • Agile with Atlassian Jira: Atlassian
    • Custom Reports in Google Analytics: Coursera Project Network
    • From Likes to Leads: Interact with Customers Online: Google
    • AI For Business: University of Pennsylvania
    • Supply Chain Logistics: Rutgers the State University of New Jersey
    • Data Analysis with R: Duke University

    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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