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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
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud en Français

      Skills you'll gain: Prompt Engineering, Cloud Infrastructure, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Identity and Access Management, Cloud Applications, Cloud Security, Infrastructure As A Service (IaaS), Cloud Storage, Virtual Machines, Cloud Services, Containerization, Cloud Computing, Security Controls, Key Management, Threat Management, Data Loss Prevention, Role-Based Access Control (RBAC), Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Vector Search with NoSQL Databases using MongoDB & Cassandra

      Skills you'll gain: MongoDB, NoSQL, Applied Machine Learning, Databases, Apache Cassandra, Text Mining, Image Analysis, Generative AI, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Cloud Natural Language API: Qwik Start

      Skills you'll gain: Google Cloud Platform, Text Mining, Natural Language Processing, Cloud API, Unstructured Data, Analysis

      Beginner · Project · Less Than 2 Hours

    • U

      Universidad Autónoma Metropolitana

      Reading and Comprehension of Text in English Module 2

      Skills you'll gain: Vocabulary, Literacy, English Language, Grammar, Language Competency, Oral Comprehension, Statistical Visualization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      The Complete LangChain & LLMs Guide

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI, Artificial Intelligence, Natural Language Processing, Document Management, Program Development, Computer Programming Tools, Application Development, Semantic Web, JSON, Image Analysis, User Interface (UI)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Instructor Network

      Designing a Customer Support Chatbot Using Flowise

      Skills you'll gain: ChatGPT, User Interface (UI), Self Service Technologies, Customer Service, Customer Support, Generative AI, Artificial Intelligence, Web Content

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Simple Linear Regression for the Absolute Beginner

      Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Random Forest Algorithm, Machine Learning, Deep Learning, Artificial Neural Networks, Feature Engineering, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Open Source Models with Hugging Face

      Skills you'll gain: Generative AI, Cloud Applications, Natural Language Processing, Application Deployment, Open Source Technology, Applied Machine Learning, User Interface (UI), API Design, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Project · Less Than 2 Hours

    Text Classification learners also search

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

    • Practical Data Science for Data Analysts: Corporate Finance Institute
    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Security in Google Cloud en Français: Google Cloud
    • Vector Search with NoSQL Databases using MongoDB & Cassandra: SkillUp EdTech
    • Supervised Learning Regression Classification Clustering: Simplilearn
    • Cloud Natural Language API: Qwik Start: Google Cloud
    • Reading and Comprehension of Text in English Module 2: Universidad Autónoma Metropolitana
    • The Complete LangChain & LLMs Guide: Packt
    • Designing a Customer Support Chatbot Using Flowise: Coursera Instructor Network
    • Simple Linear Regression for the Absolute Beginner: 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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