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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 Illinois Urbana-Champaign

      Applying Data Analytics in Accounting

      Skills you'll gain: Internal Controls, Data Visualization, Robotic Process Automation, Accounting and Finance Software, Auditing, Internal Auditing, Alteryx, Financial Auditing, Accounting, Business Process Automation, Analytics, Automation, Text Mining, R Programming, Blockchain, Natural Language Processing, Process Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Cleaning & Processing with Copilot in Excel

      Skills you'll gain: Data Cleansing, Prompt Engineering, Data Processing, Microsoft Excel, Data Manipulation, Microsoft Copilot, Data Quality, Data Transformation, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Data Analysis with Pandas and Python

      Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Training Videos with Powtoon

      Skills you'll gain: Animations, Editing, Writing and Editing, Content Creation, Video Editing, Video Production

      4.5
      Rating, 4.5 out of 5 stars
      ·
      317 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of London

      The Data Science Profession – Student View

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Fundamentals of Web Development

      Skills you'll gain: Javascript and jQuery, Responsive Web Design, Web Development, Version Control, Web Design, HTML and CSS, Web Applications, JavaScript Frameworks, Web Development Tools, Infrastructure Architecture, Browser Compatibility, Application Programming Interface (API), Animations

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL Problem Solving

      Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Business Metrics, Business Reporting, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Debugging, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Performing Network, Path, and Text Analyses in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Business Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Design Thinking and Predictive Analytics for Data Products

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Manipulation, Applied Machine Learning, Design Thinking, Advanced Analytics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Introduction to Social Media Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Customer Insights, Market Analysis, Data Analysis Software, Trend Analysis, Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      108 reviews

      Mixed · Course · 1 - 4 Weeks

    Text Classification learners also search

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    1…424344…99

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

    • Applying Data Analytics in Accounting: University of Illinois Urbana-Champaign
    • Data Cleaning & Processing with Copilot in Excel : Microsoft
    • Data Analysis with Pandas and Python: Packt
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Create Training Videos with Powtoon: Coursera Project Network
    • The Data Science Profession – Student View: University of London
    • Fundamentals of Web Development: Illinois Tech
    • SQL Problem Solving: University of California, Davis
    • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
    • Principal Component Analysis with NumPy: 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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