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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
      Free
      C

      Coursera Project Network

      Introduction to Google Docs

      Skills you'll gain: Collaborative Software, Document Management, Google Workspace, Data Sharing, Data Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Akamai Technologies, Inc.

      Operating Systems Fundamentals

      Skills you'll gain: Linux, Linux Administration, File Systems, Linux Commands, Operating Systems, User Accounts, OS Process Management, Unix Shell, System Configuration, Command-Line Interface, Open Source Technology, Security Controls, Virtualization, Virtual Machines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      108 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      History of Mental Illness

      Skills you'll gain: Psychiatry, Mental Health Diseases and Disorders, Mental Health, Psychology, Mental Health Therapies, Health Disparities, Cultural Diversity, Healthcare Ethics, Pharmaceuticals

      4.6
      Rating, 4.6 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Applied Machine Learning, Deep Learning, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Artificial Neural Networks, Regression Analysis, Emerging Technologies, Law, Regulation, and Compliance, Business Analytics, Ethical Standards And Conduct, Computer Vision, Governance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Houston

      Math behind Moneyball

      Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Business Mathematics, Simulations, Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data - Capstone Project

      Skills you'll gain: Data Presentation, Data Mining, Data Processing, Big Data, Apache Spark, Splunk, Data Analysis, Unstructured Data, Analytics, Data Manipulation, Network Analysis, Unsupervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      397 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Better Business Writing in English

      Skills you'll gain: Business Writing, Proposal Writing, Business Correspondence, Presentations, Report Writing, Writing, Microsoft PowerPoint, Business Communication, Writing and Editing, Grammar, Peer Review, English Language, Communication, Language Competency, Editing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      508 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Advanced Microsoft Power BI

      Skills you'll gain: Dashboard, Power BI, Data Transformation, Data Modeling, Interactive Data Visualization, Microsoft Power Platform, Data Visualization Software, Business Intelligence, Predictive Analytics, Microsoft Excel, Data Analysis, Data Integration, Data Cleansing, Key Performance Indicators (KPIs)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      69 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Inferential and Predictive Statistics for Business

      Skills you'll gain: Statistical Inference, Business Analytics, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Business Mathematics, Statistical Methods, Probability & Statistics, Statistical Modeling, Predictive Analytics, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      863 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      429 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • F

      Fred Hutchinson Cancer Center

      Write Smarter with Overleaf and LaTeX

      Skills you'll gain: Collaborative Software, GitHub, Technical Writing, Technical Support, Version Control, Document Management, Technical Documentation, Typography

      4.3
      Rating, 4.3 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

    Text Classification learners also search

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    1…282930…100

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

    • Introduction to Google Docs: Coursera Project Network
    • Operating Systems Fundamentals: Akamai Technologies, Inc.
    • History of Mental Illness: Wesleyan University
    • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
    • Math behind Moneyball: University of Houston
    • Big Data - Capstone Project: University of California San Diego
    • Better Business Writing in English: Georgia Institute of Technology
    • Advanced Microsoft Power BI: Edureka
    • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
    • Linear Regression with Python: 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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