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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 Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: Object Oriented Design, User Story, SQL, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Failure Analysis, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Database Design, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

      Skills you'll gain: Object Oriented Design, User Story, SQL, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Failure Analysis, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Database Design, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Coursera

      YouTube Live: Streaming Engagement

      Skills you'll gain: Live Streaming, Customer Engagement, Content Performance Analysis, Content Development and Management, Content Strategy, Customer Relationship Building, Discussion Facilitation, Community Development, Technical Support

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Instagram Strategy: Effective Content

      Skills you'll gain: Instagram, Social Media Content, Competitive Analysis, Target Audience, Content Strategy, Social Media Strategy, Content Marketing, Market Intelligence, Social Media, Scheduling, Content Creation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Azure Synapse Analytics, Apache Spark, Applied Machine Learning, Data Science, Cloud Computing, Machine Learning, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Data Processing, Scalability, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Public Health

      Skills you'll gain: Motivational Interviewing, Epidemiology, Health Disparities, Plot (Graphics), Program Evaluation, Sampling (Statistics), Mergers & Acquisitions, Child Health, Survey Creation, Growth Mindedness, Database Design, GIS Software, Variance Analysis, Risk Analysis, Environmental Policy, Spatial Data Analysis, Research Design, Data Collection, Statistical Modeling, Spatial Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • H

      HEC Paris

      Innovation Management and Entrepreneurship University Certificate

      Skills you'll gain: New Product Development, Business Strategy, Social Media Strategy, Supplier Relationship Management, Ideation, Entrepreneurship, Social Media Marketing, Project Controls, Stakeholder Engagement, Social Media, Product Development, Decision Making, Content Marketing, Process Analysis, Strategic Thinking, Strategic Decision-Making, Business Operations, Business Planning, Lean Methodologies, Innovation

      University Certificate · 6 - 12 Months

    • Status: New
      New
      C

      Coursera

      YouTube Strategy: Effective Content

      Skills you'll gain: Content Strategy, Video Production, Content Development and Management, Social Media Strategy, Content Creation, Content Performance Analysis, Calendar Management, Google Analytics, Ideation, Target Audience, Operational Efficiency

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Key Management, Security Management, Human Factors (Security), Infrastructure Security, Information Privacy, Security Testing, Cyber Governance, Network Security, Threat Modeling, Cryptography, Application Security, OSI Models, Malware Protection, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Security Software, ISO/IEC 27001, Data Collection, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Coursera

      YouTube Planning: Manage Content Like a Pro

      Skills you'll gain: Content Strategy, Content Performance Analysis, Target Audience, Production Planning, Scheduling, Project Planning, Content Management, Production Schedule, Content Creation, Organizational Skills, Workflow Management, Information Architecture, Marketing Channel

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Bachelor of Science in Business Administration

      Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

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

    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • YouTube Live: Streaming Engagement: Coursera
    • Instagram Strategy: Effective Content: Coursera
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • Master of Public Health: University of Michigan
    • Innovation Management and Entrepreneurship University Certificate: HEC Paris
    • YouTube Strategy: Effective Content: Coursera
    • Master of Science in Cyber Security: University of London
    • YouTube Planning: Manage Content Like a Pro: Coursera

    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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