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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 Michigan

      Prediction Models with Sports Data

      Skills you'll gain: Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Data Analysis, Market Data, Performance Analysis, Analytics, Regression Analysis, Probability & Statistics, Data Manipulation, Probability, Ethical Standards And Conduct

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Administration and Advanced Topics

      Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, User Accounts, Security Information and Event Management (SIEM), Machine Learning, Event Monitoring, Performance Tuning, Data Visualization, Threat Detection, Identity and Access Management, Anomaly Detection, Correlation Analysis, Data Analysis, Authentications, Data Collection, Configuration Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3.2
      Rating, 3.2 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Project Planning and Machine Learning

      Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      131 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Tables and Forms in HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Web Applications, Web Design and Development, Web Development Tools, Web Design, Web Content

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      LangChain MasterClass: Build 15 LLM Apps with Python

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, OpenAI, Application Development, Generative AI, Artificial Intelligence, Python Programming, Natural Language Processing, Data Processing, Semantic Web, Text Mining, Query Languages, Application Programming Interface (API)

      3.3
      Rating, 3.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Learn and design an attractive PowerPoint presentation

      Skills you'll gain: Microsoft PowerPoint, Presentations, Sales Presentations, Productivity Software, Microsoft 365, Technical Communication

      4.1
      Rating, 4.1 out of 5 stars
      ·
      117 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Docs

      Skills you'll gain: Google Workspace, Generative AI, Prompt Engineering, Document Management, Collaborative Software

      4.1
      Rating, 4.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Intro to Analytic Thinking, Data Science, and Data Mining

      Skills you'll gain: Data Ethics, Data Mining, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Data-Driven Decision-Making, Data Literacy, Predictive Analytics, Data Processing, Small Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Regression Modeling Fundamentals

      Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Increase Reading Comprehension with Actively Learn

      Skills you'll gain: Teaching, Student Support and Services, Data Collection, Instructional Strategies, Education Software and Technology, Student Engagement, Classroom Management, Interactive Learning, Curriculum Planning, Social Studies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      138 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • T

      The University of Melbourne

      Global Adolescent Health

      Skills you'll gain: Health Disparities, Health Policy, Public Health and Disease Prevention, Public Health, Preventative Care, Socioeconomics, Social and Human Services, Human Development, Community Health, Mental Health, Child Health, Maternal Health, Patient Education And Counseling, Injury Prevention, Infectious Diseases, Chronic Diseases, Nutrition and Diet

      4.8
      Rating, 4.8 out of 5 stars
      ·
      125 reviews

      Beginner · Course · 1 - 3 Months

    Text Classification learners also search

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    1…464748…100

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

    • Prediction Models with Sports Data: University of Michigan
    • Splunk Administration and Advanced Topics: EDUCBA
    • CUDA Advanced Libraries: Johns Hopkins University
    • Project Planning and Machine Learning: University of Colorado Boulder
    • Tables and Forms in HTML: Coursera Project Network
    • LangChain MasterClass: Build 15 LLM Apps with Python: Packt
    • Learn and design an attractive PowerPoint presentation : Coursera Project Network
    • Gemini in Google Docs: Google Cloud
    • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
    • Regression Modeling Fundamentals: SAS

    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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