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    Results for "machine learning"

    • Status: Free
      Free
      C

      Copenhagen Business School

      An Introduction to Consumer Neuroscience & Neuromarketing

      Skills you'll gain: Consumer Behaviour, Marketing Psychology, Decision Making, Human Learning, Customer Insights, Market Research, Business Ethics, Marketing, Advertising, Brand Awareness, Psychology, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Artificial Intelligence in Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      287 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Unilever

      Advanced Tools for Digital Marketing Analytics

      Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, Predictive Analytics, MarTech, Advanced Analytics, Analytics, Marketing Operations, Marketing Effectiveness, Marketing, Marketing Strategies, Marketing Channel, Data Analysis, Natural Language Processing, Data Ethics, Business Ethics, Video Production, Artificial Intelligence, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Machine Learning Aplicado ao Marketing

      Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Visualization, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Data Visualization Software, MarTech, Data Modeling, R Programming, Data Science, Data Analysis, Marketing, Innovation, Business Analytics, Data Manipulation, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Illinois at Urbana-Champaign

      Master of Business Administration (iMBA)

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Extract, Transform, Load, Business Strategy, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Data Collection

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Master of Science in Accounting

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Extract, Transform, Load, Business Strategy, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Master of Science in Management

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Extract, Transform, Load, Business Strategy, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Social Media and Influencer Marketing

      Skills you'll gain: Social Media Campaigns, AI Personalization, Social Media Marketing, Generative AI, Trend Analysis, Social Media, Canva (Software), Instagram, Social Media Content, Social Media Strategy, Market Trend, Content Creation, TikTok, Drive Engagement, ChatGPT, Prompt Engineering, Marketing, Automation, Customer Engagement, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Effective Marketing in the Global Marketplace

      Skills you'll gain: Target Audience, Value Propositions, Marketing, Global Marketing, Search Engine Optimization, Diversity Marketing, Content Marketing, Brand Strategy, Marketing Planning, Marketing Strategies, Branding, Marketing Analytics, Data-Driven Decision-Making, Social Media Marketing, Market Research, Consumer Behaviour, Customer Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Maryland, College Park

      Digital Marketing Tools: Machine Learning and AI

      Skills you'll gain: Apache Hadoop, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Marketing, Customer Insights, Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence, Predictive Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentals of Sales and Marketing, with Goldman Sachs 10,000 Women

      Skills you'll gain: Target Market, Sales Strategy, Marketing Planning, Marketing, Sales Process, Sales, Marketing Strategy and Techniques, Marketing Analytics, Digital Marketing, Brand Management, Market Opportunities, Business Metrics, Customer Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Generative AI for Data Science

      Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Prompt Engineering, Feature Engineering, Operational Efficiency, Advertising, Marketing, Artificial Intelligence, Application Deployment, Anomaly Detection, Data Synthesis, Information Privacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular machine learning courses

    • An Introduction to Consumer Neuroscience & Neuromarketing : Copenhagen Business School
    • Artificial Intelligence in Marketing: University of Virginia
    • Advanced Tools for Digital Marketing Analytics: Unilever
    • Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
    • Master of Business Administration (iMBA): University of Illinois at Urbana-Champaign
    • Master of Science in Accounting: University of Illinois at Urbana-Champaign
    • Master of Science in Management: University of Illinois at Urbana-Champaign
    • GenAI for Social Media and Influencer Marketing: Coursera Instructor Network
    • Effective Marketing in the Global Marketplace: Coursera Instructor Network
    • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park

    Frequently Asked Questions about Machine Learning

    Machine learning courses on Coursera cover a range of essential skills including:

    • Supervised learning and unsupervised learning methodologies
    • Neural networks and deep learning architectures
    • Algorithmic foundations such as regression, classification, and clustering
    • Data preprocessing, feature engineering, and data augmentation techniques
    • Model evaluation and optimization methods
    • Practical applications of machine learning in various industries
    • Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch‎

    No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

    • Beginners can start with introductory courses that cover basic programming and data handling.
    • Intermediate learners can advance to applying machine learning algorithms on real data.
    • Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.‎

    Machine learning courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques.
    • Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow.
    • Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.‎

    Skills in machine learning can open doors to numerous high-demand roles in technology and research, including:

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • Quantitative Analyst in finance
    • Software Developer specializing in AI
    • Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence.

    Discover which machine learning role suits you best by taking our career quiz!‎

    Yes, Coursera offers a variety of free courses across many topics, including machine learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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