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    • Sentiment Analysis

    Sentiment Analysis Courses Online

    Learn sentiment analysis for natural language processing. Understand how to analyze opinions and emotions in text data.

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    Explore the Sentiment Analysis Course Catalog

    • U

      University of Illinois Urbana-Champaign

      الأخلاقيات والثقافة ووجهات النظر العالمية

      Skills you'll gain: Business Ethics, Ethical Standards And Conduct, Cultural Diversity, Global Marketing, Culture, Cultural Sensitivity, Branding, Cultural Responsiveness, Intercultural Competence, Stakeholder Management, Decision Making, Corporate Strategy, Consumer Behaviour

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Éthique, culture et perspectives mondiales

      Skills you'll gain: Business Ethics, Culture, Cultural Diversity, Intercultural Competence, Global Marketing, Stakeholder Management, Brand Awareness, Consumer Behaviour, Decision Making

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Dataplex: Qwik Start - Command Line

      Skills you'll gain: Command-Line Interface, Data Lakes, Google Cloud Platform, Cloud Management, File Management, Cloud API, Data Access

      Beginner · Project · Less Than 2 Hours

    • U

      University of Lausanne

      HEALTHY URBAN SYSTEMS - PART 3 : Design and policies

      Skills you'll gain: Health Policy, Public Health, Policy Development, Community Health, Environmental Policy, Policy Analysis, Health Assessment, Governance, Systems Thinking

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Michigan

      Student Debt Crisis Teach-Out

      Skills you'll gain: Loans, Consumer Lending, Higher Education, Student Services, Financial Policy, Education and Training, Policy Analysis, Return On Investment, Economics, Financial Planning

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Complete SAS Guide - Learn SAS and Become a Data Ninja

      Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Feature Engineering, Data Analysis, R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, System Configuration

      Beginner · Course · 3 - 6 Months

    • M

      Macquarie University

      공급망 관리: 세계로 진출하라

      Skills you'll gain: Supply Chain, Strategic Sourcing, Supply Chain Management, Procurement, Logistics, Supply Chain Planning, Supply Management, Purchasing, Transportation Operations, Supplier Management, Corporate Sustainability, Risk Management, Decision Making

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Project Management and Tools

      Skills you'll gain: Change Control, Project Management Life Cycle, Project Management Software, Procurement, Vendor Management, Project Management, Project Risk Management, Issue Tracking, Risk Management, CI/CD, Collaborative Software, Meeting Facilitation, Contract Management, Change Management, Communication Strategies, Cloud Infrastructure

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      H

      HubSpot Academy

      Ventas entrantes

      Skills you'll gain: Prospecting and Qualification, Sales Presentations, Persona Development, Sales Process, Target Audience, Sales Strategy, Phone Sales, Lead Generation, Customer Analysis, Customer Relationship Management (CRM) Software, Email Marketing, Professional Networking

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Product Manager's Interview Playbook: Strategies for Success

      Skills you'll gain: Product Design, Interviewing Skills, Product Management, Storytelling, User Story, Product Development, Estimation, Technical Product Management, Analysis, Portfolio Management, Product Strategy, Presentations, Complex Problem Solving

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations en Español

      Skills you'll gain: Dataflow, Data Pipelines, Debugging, Operational Databases, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Maintainability, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

      Advanced · Course · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      공급망 관리 전략 세우기

      Skills you'll gain: Strategic Sourcing, Supply Chain Management, Supply Chain Planning, Demand Planning, Procurement, Supplier Relationship Management, Operational Efficiency, Logistics, Inventory Management System, Vendor Management, Production Planning, Presentations, Process Analysis

      Mixed · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular sentiment analysis courses

    • الأخلاقيات والثقافة ووجهات النظر العالمية: University of Illinois Urbana-Champaign
    • Éthique, culture et perspectives mondiales: University of Illinois Urbana-Champaign
    • Dataplex: Qwik Start - Command Line: Google Cloud
    • HEALTHY URBAN SYSTEMS - PART 3 : Design and policies : University of Lausanne
    • Student Debt Crisis Teach-Out: University of Michigan
    • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
    • 공급망 관리: 세계로 진출하라: Macquarie University
    • Advanced Project Management and Tools: Packt
    • Ventas entrantes: HubSpot Academy
    • Product Manager's Interview Playbook: Strategies for Success: Board Infinity

    Frequently Asked Questions about Sentiment Analysis

    Sentiment analysis is the use of computer software to identify opinions expressed in text and classify them, for example as positive, negative, or neutral. These applications can provide very important data for businesses that need to monitor perceptions of their products or brands on social media and other online channels, as well as for organizations seeking to understand public opinion about prominent figures, issues, or current events.

    Sentiment analysis is one of the most common applications of natural language processing (NLP), which is the use of artificial intelligence (AI) and related algorithmic approaches to allow computers to understand, interpret, and even communicate using human language. Sentiment analysis uses machine learning algorithms and deep learning approaches using artificial neural networks to conduct the machine translation and analysis of text, typically using TensorFlow or Python programming.‎

    Sentiment analysis and other natural language processing (NLP) skills are a valuable asset for careers in data science, with a growing number of businesses and other organizations looking to take advantage of this technology to help understand their customers or the general public. From conducting analysis of brand perceptions on social media to creating chatbots that can understand and respond appropriately to users’ emotions, sentiment analysis can be harnessed for an expanding range of emerging applications.

    An understanding of how to use the insights generated by sentiment analysis is also important for today’s digital marketing professionals, who need to understand how their brands and products are being discussed on social media networks like Twitter, Facebook, and Instagram and adjust their communications strategies appropriately. According to the Bureau of Labor Statistics, marketing managers earned a median annual salary of $135,900 in 2019, and “advertising managers who can navigate the digital world should have the best prospects.”‎

    Yes! There are a wealth of opportunities to learn about all kinds of data science skills on Coursera, including courses and Specializations spanning multiple courses about natural language processing (NLP) and sentiment analysis. You can learn from top-ranked institutions like University of Washington, University of Michigan, and deeplearning.ai, or by completing step-by-step tutorials alongside experienced instructors with Coursera’s Guided Projects. Regardless of how you choose to learn, taking courses online lets you build valuable skills in sentiment analysis on a flexible schedule that fits into your existing studies or career.‎

    People who are native American English speakers—or speak the language native to the country they'll be working in—are typically best suited for sentiment analysis roles when evaluating social media posts and consumer reviews. People who have fairly advanced technical skills, such as programming and machine learning can also do well in sentiment analysis roles. People who enjoy looking at data sets and uncovering patterns, as well as those who enjoy solving complex problems can typically perform well in sentiment analysis. Additionally, those who enjoy using social media and who are comfortable with apps can be well suited for these types of roles.‎

    If you want to be able to review social media posts to determine if customers are happy with products or the performance of customer service agents, learning sentiment analysis could be right for you. It’s mainly used in business when business owners and managers want to know more about customer opinions than can be seen on the surface. It’s a type of natural language processing that can also be right for you if you’re interested in AI. It may also be helpful for you if you want to know what your customers think of your other business practices, such as your prices.‎

    Data science, AI, and algorithm research are three common career paths for someone in sentiment analysis. These fields all use this type of machine learning to reveal patterns. Investment analysts and statisticians are also common careers for people in sentiment analysis. These skills can also typically be applied to positions like business intelligence analysis, investor relations analysis, and workforce science. Additionally, statisticians and entrepreneurs are career paths that someone who has studied sentiment analysis could pursue.‎

    Machine learning, AI, and natural language processing are some topics you can study that are related to sentiment analysis. Python, TensorFlow, and quanteda are some computer programs you could learn that are related to sentiment analysis. You could also learn about text mining and sequence models that use tools like attention models, recurrent neural networks, gated recurrent units (GRUs), and long short-term memory (LSTM) to answer sentiment analysis questions. Additionally, topics like marketing analysis and psychology can be related to this topic if you plan to pursue work in the marketing field.‎

    Online Sentiment Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Sentiment Analysis skills. Choose from a wide range of Sentiment Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Sentiment Analysis, 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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