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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
      Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Data Analytics

      Skills you'll gain: Data Lakes, Data Storytelling, Data Governance, Data Presentation, Data Architecture, Data Pipelines, Data Visualization Software, Dashboard, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Cloud Storage, Data Transformation, Cloud Computing, Google Cloud Platform, Database Management, Data Ethics, Data Analysis, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      168 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Exploratory Data Analysis, Artificial Intelligence, Data Wrangling, ChatGPT, Natural Language Processing, Data Analysis, Jupyter, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI Agents, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Data Cleansing, Health Information Management, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      270 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Demand Planning, Competitive Intelligence, Strategic Sourcing, Competitive Analysis, Procurement, Market Intelligence, Purchasing, Supplier Management, Supply Chain, Inventory Management, Supply Management, Vendor Management, Management Consulting, Data Collection, Inventory Control, Business Consulting, Supply Chain Management, Inventory Control Systems, Forecasting, Supplier Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Analysis Software, Data Validation, Data Analysis, Microsoft Power Platform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to CRM with HubSpot

      Skills you'll gain: HubSpot CRM, Customer Relationship Management, Customer Data Management, Email Marketing, Marketing Materials, Business Software, Sales Pipelines, Dashboard, Collaborative Software, Team Oriented

      4.6
      Rating, 4.6 out of 5 stars
      ·
      928 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    Customer Analytics learners also search

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

    • Google Cloud Data Analytics: Google Cloud
    • IBM Generative AI Engineering: IBM
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Excel Skills for Data Analytics and Visualization: Macquarie University
    • Foundations: Data, Data, Everywhere: Google
    • IBM Data Analytics with Excel and R: IBM
    • Introduction to CRM with HubSpot: Coursera Project Network
    • Data Analysis and Visualization Foundations: IBM

    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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