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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Architecture

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Project Execution: Running the Project

      Skills you'll gain: Quality Management, Project Management Life Cycle, Project Closure, Project Management, Continuous Improvement Process, Project Controls, Quality Assessment, Team Management, Data-Driven Decision-Making, Project Documentation, Stakeholder Communications, Risk Management, Technical Communication, Meeting Facilitation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Social Media Marketing

      Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Social Media Strategy, Social Media Management, Marketing, Key Performance Indicators (KPIs), Goal Setting, Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Instagram, Digital Marketing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Marketing

      Skills you'll gain: Go To Market Strategy, Branding, Consumer Behaviour, Strategic Marketing, Marketing, Brand Strategy, Communication Strategies, Marketing Strategy and Techniques, Marketing Communications, Brand Loyalty, Customer experience strategy (CX), Customer Insights, Brand Awareness, Price Negotiation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Share Data Through the Art of Visualization

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages, Query Languages, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Relational Databases, Dashboard, File Management, Stored Procedure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    Customer Analytics learners also search

    Customer Success
    Customer Insights
    Marketing Analytics
    Business Analysis
    Market Research
    Economic Policy
    Business Statistics
    Business English
    1…141516…305

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

    • IBM Data Architecture: IBM
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Project Execution: Running the Project: Google
    • Introduction to Social Media Marketing: Meta
    • Introduction to Marketing: University of Pennsylvania
    • Share Data Through the Art of Visualization: Google
    • Tools for Data Science: IBM
    • IBM Data Warehouse Engineer: IBM
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

    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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