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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
      J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Intro to Claude AI

      Skills you'll gain: Prompt Engineering, OpenAI, ChatGPT, Generative AI, Large Language Modeling, Artificial Intelligence, Cloud Applications, Application Programming Interface (API), Data Ethics, Application Deployment, Image Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Intermediate Data Analysis Techniques with Pandas

      Skills you'll gain: Pandas (Python Package), Text Mining, Data Manipulation, Data Cleansing, Data Analysis Software, Data Integration, Data Wrangling, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create a Digital Mood Board with Canva

      Skills you'll gain: Canva (Software), Color Theory, Presentations, Data Sharing, Organizational Skills, Graphic and Visual Design, Design, Creative Design, Content Creation, Dashboard, User Accounts

      4.5
      Rating, 4.5 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Select Topics in Python

      Skills you'll gain: Matplotlib, Version Control, Text Mining, GitHub, Large Language Modeling, Django (Web Framework), Package and Software Management, Platform As A Service (PaaS), Plot (Graphics), Application Deployment, Object-Relational Mapping, Natural Language Processing, Data Visualization Software, Data Visualization, Jupyter, Development Environment, Data Processing, Virtual Environment, Data Transformation, Dependency Analysis

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn to Solve Regression Machine Learning Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      How to Use Data

      Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Database Management, Verbal Communication Skills, Business Analytics, Decision Tree Learning, Classification And Regression Tree (CART)

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas en Páginas Web

      Skills you'll gain: Web Analytics, Search Engine Marketing, Marketing Analytics, Market Research, Digital Marketing, Search Engine Optimization, Analytical Skills, Online Advertising, Email Marketing, Marketing Effectiveness, Analytics, Content Performance Analysis, Market Intelligence, Customer Insights, Consumer Behaviour, Digital Advertising, Pay Per Click Advertising, Customer Relationship Management, Browser Compatibility, Advertising Campaigns

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Linux Fundamentals

      Skills you'll gain: Linux, Linux Administration, Linux Commands, OS Process Management, Command-Line Interface, User Accounts, File Systems, Scripting, Unix Shell, File Management, Docker (Software), Operating Systems, TCP/IP, Remote Access Systems, Containerization, System Monitoring

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Advanced Recommender Systems

      Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Algorithms, Performance Tuning, Data Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Queries with OpenAI: Translate Natural Text to SQL

      Skills you'll gain: SQL, ChatGPT, Prompt Engineering, OpenAI, Pandas (Python Package), Natural Language Processing, Generative AI, Data Import/Export, Databases, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, Statistical Inference, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

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    1…575859…100

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

    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • Intro to Claude AI: Scrimba
    • Intermediate Data Analysis Techniques with Pandas: Packt
    • Create a Digital Mood Board with Canva: Coursera Project Network
    • Select Topics in Python: Codio
    • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
    • How to Use Data: University of Pennsylvania
    • Analíticas en Páginas Web: Tecnológico de Monterrey
    • Linux Fundamentals: Packt
    • Advanced Recommender Systems: EIT Digital

    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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