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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: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Practical SAS Programming and Certification Review

      Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      356 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Informed Clinical Decision Making using Deep Learning

      Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Healthcare Ethics, Electocardiography, Machine Learning, Machine Learning Methods, Patient Flow, Artificial Neural Networks, Predictive Analytics, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Supply Chain & Operations

      Skills you'll gain: Process Mapping, Operations Management, Process Analysis, Process Improvement, Revenue Management, Business Modeling, Supply Chain Management, Business Process, Organizational Structure, Supply Chain Planning, Supply Management, Business Operations, Project Design, Materials Management, Strategic Thinking, Business Strategy, Business Strategies, Inventory Management System, Strategic Decision-Making, Competitive Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Modelos predictivos con aprendizaje automático

      Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Decision Tree Learning, Python Programming, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Keller Williams

      Sales Fundamentals

      Skills you'll gain: Lead Generation, Value Propositions, Sales Process, Sales Management, Branding, Social Media Content, Property Management, Customer Relationship Management, Communication, Real Estate, Customer experience strategy (CX), Relationship Building, Professional Networking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      How to design Facebook/IG Stories using Canva

      Skills you'll gain: Canva (Software), Content Creation, Multimedia, Design Elements And Principles, Digital Design, Creative Design, Graphic and Visual Design Software, Photo Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      282 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universitat Autònoma de Barcelona

      Diseño de videojuegos

      Skills you'll gain: Video Game Development, Game Design, Unity Engine, Animation and Game Design, Software Design Documents, Conceptual Design, Design, Experience Design, Usability, Persona (User Experience), Prototyping, Storytelling, Creativity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      329 reviews

      Mixed · Course · 1 - 4 Weeks

    • W

      Whizlabs

      Exam Prep AI-102: Microsoft Azure AI Engineer Associate

      Skills you'll gain: Microsoft Azure, Data Ethics, Natural Language Processing, Image Analysis, Generative AI, Artificial Intelligence, Azure Active Directory, Cloud Solutions, Computer Vision, OpenAI, Text Mining, Machine Learning, Key Management, Application Deployment, Application Programming Interface (API)

      3.4
      Rating, 3.4 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pohang University of Science and Technology(POSTECH)

      Programming with Cloud IoT Platforms

      Skills you'll gain: Internet Of Things, Cloud Platforms, IBM Cloud, Application Development, Cloud Services, Cloud Computing, Google Cloud Platform, Infrastructure As A Service (IaaS), Microsoft Azure, Amazon Web Services, Middleware, Emerging Technologies, Automation, Network Protocols

      4.3
      Rating, 4.3 out of 5 stars
      ·
      319 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de Palermo

      Estrategia y Planificación de Marketing

      Skills you'll gain: Target Market, Marketing Management, Branding, Strategic Marketing, Marketing Strategies, Marketing Communications, Brand Strategy, Marketing Strategy and Techniques, Market Research, Communication Strategies, Business Strategy, Competitive Analysis, Market Dynamics, Consumer Behaviour, Value Propositions

      4.9
      Rating, 4.9 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • SQL Fundamentals for Data Analysts: Corporate Finance Institute
    • Practical SAS Programming and Certification Review: SAS
    • Informed Clinical Decision Making using Deep Learning: University of Glasgow
    • Supply Chain & Operations: Fundação Instituto de Administração
    • Modelos predictivos con aprendizaje automático: Universidad de los Andes
    • Sales Fundamentals: Keller Williams
    • How to design Facebook/IG Stories using Canva: Coursera Project Network
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Diseño de videojuegos: Universitat Autònoma de Barcelona
    • Exam Prep AI-102: Microsoft Azure AI Engineer Associate: Whizlabs

    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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