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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 at Urbana-Champaign

      Business Analytics Graduate Certificate

      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

    • U

      University of Illinois at Urbana-Champaign

      Master of Business Administration (iMBA)

      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, Data Collection, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Entrepreneurship and Strategic Innovation Graduate Certificate

      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

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Accounting Data Analytics

      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

    • U

      University of Illinois at Urbana-Champaign

      Accounting Foundations Graduate Certificate

      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

    • U

      University of Illinois at Urbana-Champaign

      Financial Management Graduate Certificate

      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

    • U

      University of California, Berkeley

      Master of Advanced Study in Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Finanzas Corporativas

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Capital Markets, Accrual Accounting, Financial Analysis, Income Statement, Derivatives, Digital Transformation, Risk Management, Business Valuation, Financial Reporting, Balance Sheet, Financial Data, Financial Accounting, Corporate Strategy, Value Propositions, Securities (Finance), Capital Budgeting, Corporate Finance, Technology Strategies

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Business Analytics

      Skills you'll gain: Revenue Management, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Cloud Security, Network Model, Data Visualization, Assertiveness, Web Scraping, Governance

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Gestión de Inversiones

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Capital Markets, Portfolio Management, Accrual Accounting, Financial Analysis, Investments, Income Statement, Risk Management, Financial Reporting, Balance Sheet, Financial Data, Financial Accounting, Financial Market, Accounting, Business Ethics, Business Risk Management, Finance, Financial Modeling, Financial Trading

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of North Texas

      Bachelor of Applied Arts and Sciences

      Skills you'll gain: Operations Management, Exploratory Data Analysis, Mediation, Change Management, Business Writing, Compensation and Benefits, Integrated Marketing Communications, Apache Hadoop, Consumer Behaviour, Organizational Change, Stakeholder Management, Event Management, Grammar, Social Media Strategy, Business Ethics, Sales Process, Diversity Awareness, Conflict Management, Research, Nutrition and Diet

      Earn a degree

      Degree · 1 - 4 Years

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

    • Business Analytics Graduate Certificate: University of Illinois at Urbana-Champaign
    • Master of Business Administration (iMBA): University of Illinois at Urbana-Champaign
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Entrepreneurship and Strategic Innovation Graduate Certificate: University of Illinois at Urbana-Champaign
    • Graduate Certificate in Accounting Data Analytics: University of Illinois at Urbana-Champaign
    • Accounting Foundations Graduate Certificate: University of Illinois at Urbana-Champaign
    • Financial Management Graduate Certificate: University of Illinois at Urbana-Champaign
    • Master of Advanced Study in Engineering: University of California, Berkeley
    • Certificado en Finanzas Corporativas: Pontificia Universidad Católica de Chile
    • Magíster en Business Analytics: Pontificia Universidad Católica de Chile

    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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