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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

      Engineering Management Graduate Certificate

      Skills you'll gain: User Story, Supplier Management, Project Schedules, Sustainability Reporting, Project Closure, Goal Setting, Engineering Management, Financial Analysis, Milestones (Project Management), Financial Statement Analysis, Cost Estimation, Environmental Social And Corporate Governance (ESG), Team Leadership, Stakeholder Management, Agile Project Management, Capital Budgeting, Personal Development, Self-Awareness, Project Risk Management, Cost Management

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Skills you'll gain: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      Instructional Design MasterTrack® Certificate

      Skills you'll gain: Process Improvement, Supply Chain, Supply Chain Management, Supply Chain Systems, Operations Management, Supply Chain Planning, Change Management, Business Operations, Process Analysis, Statistical Process Controls, Instructional Design, Materials Management, Continuous Improvement Process, Education Software and Technology, Process Capability, Learning Management Systems, Augmented and Virtual Reality (AR/VR), Technology Strategies, Solution Design, System Implementation

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

      Skills you'll gain: Data Storytelling, Network Analysis, Data Visualization, Data Presentation, Predictive Modeling, Financial Data, Marketing Analytics, Strategic Decision-Making, Sales Territory Management, Marketing Management, Dashboard, Applied Machine Learning, Financial Statement Analysis, Random Forest Algorithm, Data Cleansing, Operations Research, Statistical Machine Learning, Natural Language Processing, Mathematical Modeling, Trend Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design, Image Analysis, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP AIRS® Entry-Level Recruiter

      Skills you'll gain:

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Digital Marketing

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

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • H

      HEC Paris

      Innovation Management and Entrepreneurship University Certificate

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

      University Certificate · 6 - 12 Months

    • U

      University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: User Story, SQL, New Product Development, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Unsupervised Learning, Goal Setting, Proposal Writing

      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

    • I

      Indian School of Business

      Certificate in Investment Management

      Skills you'll gain: Financial Statement Analysis, Portfolio Management, Financial Statements, Financial Analysis, Income Statement, Balance Sheet, Investments, Financial Market, Financial Trading, Equities, Business Valuation, Return On Investment, Performance Analysis, Financial Modeling, Finance, Risk Management, Cash Flows, Working Capital, Capital Markets, Market Dynamics

      University Certificate · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: User Story, Data Ethics, Database Design, Customer Analysis, Descriptive Analytics, People Analytics, Revenue Management, Web Scraping, Time Series Analysis and Forecasting, FinTech, Predictive Analytics, Statistical Reporting, Supervised Learning, Governance, Statistical Hypothesis Testing, Risk Analysis, Network Analysis, Digital Transformation, Exploratory Data Analysis, Cloud Security

      Earn a degree

      Degree · 1 - 4 Years

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

    • Engineering Management Graduate Certificate: University of Colorado Boulder
    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
    • Instructional Design MasterTrack® Certificate: University of Illinois at Urbana-Champaign
    • Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®: Universidad de los Andes
    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • ADP AIRS® Entry-Level Recruiter: Automatic Data Processing, Inc. (ADP)
    • Graduate Certificate in Digital Marketing: University of Illinois at Urbana-Champaign
    • Innovation Management and Entrepreneurship University Certificate: HEC Paris
    • Master of Science in Computer Science: University of Colorado Boulder
    • Graduate Diploma in Computer Science: University of London

    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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