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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

    • U

      University of California, Davis

      Healthcare Data Models

      Skills you'll gain: Data Integration, Data Validation, Data Quality, Data Modeling, Health Informatics, Data Transformation, Star Schema, Data Warehousing, Health Information Management, Data Analysis, Network Model, Analytics, Interoperability, Relational Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnKartS

      Apache Kafka

      Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Apache Hadoop, Apache, Big Data, Systems Architecture, Continuous Monitoring, Data Processing, Data Integration, Data Architecture, Middleware, Data Security, Distributed Computing, Scala Programming, Software Architecture, Restful API

      4
      Rating, 4 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Analysis, Performance Tuning, Big Data, Data Pipelines, Artificial Neural Networks, Data Ethics, Cloud Computing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • O

      O.P. Jindal Global University

      Text Mining for Marketing

      Skills you'll gain: Text Mining, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Marketing, Brand Management, Natural Language Processing, Predictive Analytics, Machine Learning, Data Quality

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Search and Display Advertising

      Skills you'll gain: Google Ads, Online Advertising, Pay Per Click Advertising, Digital Advertising, Contextual Advertising, Search Engine Marketing, Keyword Research, Search Engine Optimization, Advertising Campaigns, Advertising, Web Analytics and SEO, Automation, A/B Testing, Consumer Behaviour

      4.5
      Rating, 4.5 out of 5 stars
      ·
      96 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Case Western Reserve University

      Beyond Silicon Valley: Growing Entrepreneurship in Transitioning Economies

      Skills you'll gain: Philanthropy, Entrepreneurship, Global Marketing, Entrepreneurial Finance, Innovation, New Business Development, Community Development, Economic Development, Commercialization, Mentorship, Governance, Public Policies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      127 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentals of Customers and Competition, with Goldman Sachs 10,000 Women

      Skills you'll gain: Competitive Analysis, Value Propositions, Growth Strategies, Market Opportunities, Business Strategies, Consumer Behaviour, Target Market, Customer Insights, Price Negotiation, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Cost Estimation, Mathematical Software, Linear Algebra, Operations Research, Data Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      349 reviews

      Intermediate · Specialization · 3 - 6 Months

    • O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms

      Beginner · Course · 1 - 3 Months

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

    • Healthcare Data Models: University of California, Davis
    • Apache Kafka: LearnKartS
    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • Text Mining for Marketing: O.P. Jindal Global University
    • Precalculus: Mathematical Modeling: Johns Hopkins University
    • Search and Display Advertising: University of Colorado Boulder
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Beyond Silicon Valley: Growing Entrepreneurship in Transitioning Economies: Case Western Reserve University
    • Fundamentals of Customers and Competition, with Goldman Sachs 10,000 Women: Goldman Sachs
    • Combining and Analyzing Complex Data: University of Maryland, College Park

    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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