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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

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Cisco CyberOps Associate (200-201)

      Skills you'll gain: Cyber Operations, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Assessment, Security Controls, Threat Modeling, Incident Response, Risk Management Framework, Continuous Monitoring, Network Security, Threat Detection, Event Monitoring, Network Analysis, Firewall, Data Integrity

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Financial & Technical Skills for Business Success

      Skills you'll gain: Financial Statement Analysis, Blogs, Spreadsheet Software, Income Statement, Data Visualization, Excel Formulas, Financial Accounting, Balance Sheet, Data Analysis, Microsoft Excel, Cash Flows, Registration, Web Servers, Content Creation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Mobile Security

      Skills you'll gain: Mobile Security, Android (Operating System), Malware Protection, Apple iOS, Application Security, File Systems, Incident Response, Authentications, Data Integrity, Vulnerability Assessments, Data Analysis Software, Encryption

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Data and Machine Learning for Technical Product Managers

      Skills you'll gain: Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, R Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Information Technology Entrepreneurship & Startup

      Skills you'll gain: Prototyping, Customer Acquisition Management, Product Design, Target Market, Market Opportunities, Competitive Analysis, Go To Market Strategy, Market Analysis, Persona Development, Design Thinking, Product Development, Ideation, Business Modeling, Entrepreneurship, Growth Strategies, Price Negotiation, Business Planning, New Business Development, Emerging Technologies, Technology Strategies

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Lean Six Sigma Green Belt Training

      Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Manufacturing, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Contract Managers: Automating CLM

      Skills you'll gain: Contract Management, Performance Analysis, Contract Review, Generative AI, Contract Negotiation, Workflow Management, Compliance Management, Document Management, Business Process Automation, Vendor Management, Automation, Operational Efficiency, Data Governance, Risk Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Data Analytics Course with Generative AI

      Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Advanced Analytics, Business Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Prompt Engineering, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, ChatGPT, Forecasting, Data Transformation, Descriptive Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Finance

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Financial Data, Anomaly Detection, Large Language Modeling, Regulatory Compliance, Artificial Intelligence, Investment Management, Financial Modeling, Machine Learning, FinTech, Investments, Financial Services, Financial Forecasting, Portfolio Management, Credit Risk, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Automation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Introduction to Six Sigma Training

      Skills you'll gain: Lean Methodologies, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Business Process, Quality Management, Process Mapping, Operational Efficiency, Continuous Improvement Process, Waste Minimization, Key Performance Indicators (KPIs), Root Cause Analysis, Product Development, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

    • C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      165 reviews

      Beginner · Course · 1 - 3 Months

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

    • Applied Data Science: Clemson University
    • Cisco CyberOps Associate (200-201): Packt
    • Financial & Technical Skills for Business Success: Packt
    • Mobile Security: Macquarie University
    • Data and Machine Learning for Technical Product Managers: Coursera Instructor Network
    • Information Technology Entrepreneurship & Startup: University of Minnesota
    • Lean Six Sigma Green Belt Training: Simplilearn
    • GenAI for Contract Managers: Automating CLM: Coursera Instructor Network
    • Data Analytics Course with Generative AI: Simplilearn
    • Generative AI in Finance: 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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