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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
      I

      Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, R Programming, Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Statistical Visualization, Data Presentation, Probability & Statistics, Statistical Hypothesis Testing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Precast Structural System

      Skills you'll gain: Shop Drawing, Structural Engineering, Building Codes, Architectural Drawing, Construction Inspection, Building Design, Construction Engineering, Structural Analysis, Construction, Manufacturing Processes, Architectural Engineering, Construction Management, Civil Engineering, Engineering Tolerance, Engineering Practices, Engineering Software, Engineering Design Process, Engineering Calculations, Engineering Analysis, Product Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northeastern University

      Intro to Improving the Patient Experience Through Analytics

      Skills you'll gain: Care Management, Health Informatics, Patient Education and Support, Patient Safety, Health Care, Analytics, Data Analysis, Predictive Analytics, Big Data, Data-Driven Decision-Making, Decision Support Systems, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced PyTorch Techniques and Applications

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Unsupervised Learning, Text Mining, Supervised Learning, Image Analysis, Machine Learning, Google Cloud Platform, Application Deployment, Flask (Web Framework)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Python Programming, Statistical Modeling, Mathematical Software, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      AI Content Creation with DALL-E: Visual SEO Strategy

      Skills you'll gain: Prompt Engineering, Generative AI, Blogs, Search Engine Optimization, Content Strategy, Web Content, Content Creation, Keyword Research, ChatGPT, Web Analytics and SEO

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      GenAI For Business Analysis: Fine-Tuning LLMs

      Skills you'll gain: OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Artificial Intelligence, Performance Analysis, Customer Analysis, Business Analysis, Data Analysis, JSON

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Text Classification learners also search

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    1…575859…100

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

    • Introduction to Time Series: Illinois Tech
    • Predictive Analytics for Business with H2O in R: Coursera Project Network
    • Encoder-Decoder Architecture: Google Cloud
    • Precast Structural System: L&T EduTech
    • Data Analysis with Python: University of Colorado Boulder
    • Intro to Improving the Patient Experience Through Analytics: Northeastern University
    • Advanced PyTorch Techniques and Applications: Packt
    • The Total Data Quality Framework: University of Michigan
    • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
    • Linear Algebra for Data Science Using Python: Howard University

    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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