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    • Marketing Analytics

    Marketing Analytics Courses Online

    Master marketing analytics for data-driven decision-making. Learn to analyze marketing data, measure performance, and optimize campaigns.

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    Explore the Marketing Analytics Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Adobe

      Adobe Ecommerce Foundation

      Skills you'll gain: Merchandising, Adobe Experience Manager, E-Commerce, Product Assortment, Web Applications, Business-To-Consumer, Scalability, Project Implementation, Web Development Tools, Business Technologies, Technology Solutions, System Implementation, Digital Transformation, Advertising, Solution Delivery, Program Implementation, Application Development, Business Requirements, Technical Consulting, B2B Sales

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Cloud Computing

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Cloud Platforms, Public Cloud, Software As A Service, Infrastructure As A Service (IaaS), Cloud Storage, Platform As A Service (PaaS), Private Cloud, Hybrid Cloud Computing, Virtualization

      3.8
      Rating, 3.8 out of 5 stars
      ·
      36 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Data Analysis, Trend Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Consumer Behaviour, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Address Business Issues with Data Science

      Skills you'll gain: Project Scoping, Business Priorities, Stakeholder Management, Business Analytics, Project Design, Business, Data Science, Business Process, Data-Driven Decision-Making, Data Literacy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Building Powerful Reports and Dashboards in Power BI

      Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Data Analysis Expressions (DAX), Data Security, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Using Advanced SWOT Analysis to Determine Competitiveness

      Skills you'll gain: Strategic Prioritization, Competitive Analysis, Prioritization, Strategic Planning, Strategic Thinking, Business Strategy, Spreadsheet Software, Strategic Decision-Making, Market Analysis, Organizational Effectiveness, Internal Auditing, External Auditing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Risk Management Essentials

      Skills you'll gain: Enterprise Risk Management (ERM), Risk Management Framework, Risk Management, Business Risk Management, Project Risk Management, Operational Risk, Compliance Management, Generative AI Agents, Risk Mitigation, Risk Analysis, Regulatory Compliance, Governance, Ethical Standards And Conduct

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Marketing Channel Governance

      Skills you'll gain: Marketing Channel, Marketing Strategies, E-Commerce, New Business Development, B2B Sales, Business Relationship Management, Market Dynamics, Brand Management, Strategic Partnership, Customer experience strategy (CX)

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis with OpenAI API: Save time with GenAI

      Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, OpenAI, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, Application Programming Interface (API), E-Commerce, Data Manipulation, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Knowledge Manager 102

      Skills you'll gain: Data Modeling, Splunk, Data Store, Pivot Tables And Charts, Database Management, Data Manipulation, Query Languages, Data Integration, Performance Tuning, Geospatial Information and Technology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Adobe Ecommerce Foundation: Adobe
    • Fundamentals of Cloud Computing: LearnQuest
    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • Address Business Issues with Data Science : CertNexus
    • Building Powerful Reports and Dashboards in Power BI: Microsoft
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Using Advanced SWOT Analysis to Determine Competitiveness: Coursera Project Network
    • GenAI for Risk Management Essentials: Coursera Instructor Network
    • Marketing Channel Governance: Emory University
    • Data Analysis with OpenAI API: Save time with GenAI: Coursera Project Network

    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 Marketing Analytics

    Marketing analytics courses on Coursera equip learners with critical skills to analyze and interpret data that drive strategic marketing decisions, including:

    • Fundamental and advanced techniques in data analysis and statistical modeling
    • Tools and technologies for measuring and improving marketing effectiveness
    • Strategies for translating data insights into actionable marketing tactics
    • Understanding of consumer behavior and market trends through data
    • Skills to use popular analytics software like Google Analytics and Tableau‎

    Coursera’s marketing analytics courses are structured to welcome learners from all backgrounds:

    • No prior experience is necessary for beginner courses, which introduce basic concepts of marketing and data handling.
    • Intermediate courses cater to those with some understanding of marketing principles and basic analytics.
    • Advanced courses are designed for professionals looking to deepen their expertise in sophisticated analytical methods and strategic implementation.‎

    Participants in Coursera’s marketing analytics courses can achieve various credentials to enhance their professional profile:

    • Certificates of completion for individual courses demonstrating mastery of specific topics
    • Professional certificates that prepare learners for analytics roles in marketing departments
    • Specializations that focus on advanced topics such as predictive analytics and digital marketing measurements ‎

    Skills gained from marketing analytics courses can open numerous career opportunities across industries by enabling learners to:

    • Serve as Marketing Analysts who support data-driven decision making
    • Work as Customer Insight Analysts to optimize customer engagement strategies
    • Become Digital Marketing Managers who use data to shape online marketing efforts
    • Excel as Business Intelligence Analysts who influence policy and strategic directions
    • Lead as Chief Marketing Officers with a strong grasp of market dynamics and metrics

    These roles utilize analytical skills to enhance organizational performance through better understanding and engagement with customers.‎

    Looking to enhance your team's marketing analytics skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our marketing analytics training options and make a purchase, please visit our Coursera for Teams page.‎

    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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