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    • Text Classification

    Text Classification Courses Online

    Learn text classification for natural language processing. Understand how to categorize text data using machine learning models.

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    Explore the Text Classification Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Strategies for Converting and Retaining Customers Online

      Skills you'll gain: Pay Per Click Advertising, Search Engine Marketing, Customer Retention, Digital Marketing, Search Engine Optimization, Keyword Research, Marketing Strategies, Customer Acquisition Management, Web Analytics and SEO, Lead Generation, Target Audience, Web Content, Customer experience improvement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: Upgrading Apps with Generative AI

      Skills you'll gain: Prompt Engineering, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Generative AI, Data Ethics, Application Development, DevOps, Large Language Modeling, Git (Version Control System), CI/CD, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Classify Text into Categories with the Natural Language API

      Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API)

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Classification - Fundamentals & Practical Applications

      Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Deep Learning for Natural Language Processing

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Deep Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Tensorflow, OpenAI, Network Architecture, Machine Learning Algorithms, Python Programming

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Business Analytics Capstone

      Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Predictive Modeling, Business Analytics, Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Technical Communication, Data Processing, Data Manipulation, Statistical Modeling, Regression Analysis, Business Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      HTML for Beginners: Getting Started

      Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Semantic Web, Web Content, Information Architecture, Web Design and Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Google Ads for Beginners: Master Essentials & Fundamentals

      Skills you'll gain: Google Ads, Keyword Research, Advertising Campaigns, Pay Per Click Advertising, Online Advertising, Digital Advertising, Search Engine Marketing, Marketing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Artificial Intelligence in Social Media Analytics

      Skills you'll gain: Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Textract

      Skills you'll gain: Amazon Web Services, Amazon S3, Document Management, Unstructured Data, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

    Text Classification learners also search

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    In summary, here are 10 of our most popular text classification courses

    • Strategies for Converting and Retaining Customers Online: University of California, Irvine
    • DevOps and AI on AWS: Upgrading Apps with Generative AI: Amazon Web Services
    • Classify Text into Categories with the Natural Language API: Google Cloud
    • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
    • Deep Learning for Natural Language Processing: University of Colorado Boulder
    • Advanced Business Analytics Capstone: University of Colorado Boulder
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder
    • HTML for Beginners: Getting Started: Coursera Project Network
    • Introduction to Machine Learning with Python: Arizona State University
    • Google Ads for Beginners: Master Essentials & Fundamentals: Coursera Project Network

    Frequently Asked Questions about Text Classification

    Text classification is a process of categorizing text into organized sections or groups. Text classifiers use elements of Natural Language Processing (NLP) to structure textual data in fast, cost-effective, and scalable ways. Also known as text categorization or text tagging, this system of text classification is a useful way to analyze textual components and then organize the text according to tags based on its content. Text classification easily pulls insights from data and then uses that data to automate business processes.‎

    It's valuable to learn about text classification because you can understand that unstructured text is everywhere in our online lives. We use unclassified text every day in our emails, chat conversations, and social media interactions. Businesses and others want to know the value that’s in this unstructured text, but it’s hard to extract value from this data unless it’s organized in a certain way. Text classification can organize text by topic, language, and sentiment to filter it by category and use.‎

    Some of the typical careers that use text classification include jobs like a computational linguist, AI machine learning manager, NLP scientist, system design analyst, computer researcher, technical writer, and other similar data roles. Text classification is an emerging field connected to NLP, and job opportunities may come to those with a background in data science, artificial intelligence, and machine learning experience. Gaining a better understanding of text classification in these types of jobs may help you to grow in levels within your company or organization.‎

    By taking online courses about text classification, you may learn certain basic protocols of how to analyze emails, spam, video content, and social media posts. You may also learn to recognize certain NLP tasks in your daily work and assess which techniques work best. Learning text classification from online courses could show you the various approaches to the subject—the rule-based approach to text classification, the machine learning approach, or a hybrid combination of both. Taking online courses can help you learn the fundamentals of text classification, which can benefit you with skills and knowledge to help you build your future opportunities in this emerging field.‎

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

    When looking to enhance your workforce's skills in Text Classification, 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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