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Text Mining Courses

Text mining courses can help you learn techniques for extracting information from unstructured data, natural language processing, and sentiment analysis. You can build skills in data preprocessing, text classification, and visualization of textual data. Many courses introduce tools like Python libraries such as NLTK and spaCy, along with software for data analysis and machine learning, that support implementing text mining projects and enhancing your understanding of how to leverage AI in analyzing large text datasets.


Popular Text Mining Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    737 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Predictive Analytics, Big Data, Anomaly Detection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Text Mining for Marketing

    Skills you'll gain: Text Mining, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Marketing, Trend Analysis, Brand Awareness, Target Audience, Natural Language Processing, Predictive Analytics, Machine Learning, Data Preprocessing

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Text Marketing Analytics

    Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Classification Algorithms, Model Evaluation, Unsupervised Learning, Anomaly Detection, Supervised Learning, Big Data, Data Science, Decision Tree Learning, Unstructured Data, Text Mining, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Correlation Analysis, Algorithms, Artificial Neural Networks, Probability Distribution

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yonsei University

    Hands-on Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Classification Algorithms, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    962 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

What brings you to Coursera today?

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

  • Text Mining and Analytics: University of Illinois Urbana-Champaign
  • Applied Text Mining in Python: University of Michigan
  • Apply Natural Language Processing Techniques in Python: EDUCBA
  • Data Mining: University of Illinois Urbana-Champaign
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Text Mining for Marketing: O.P. Jindal Global University
  • Text Marketing Analytics: University of Colorado Boulder
  • Data Mining Methods: University of Colorado Boulder
  • Hands-on Text Mining and Analytics: Yonsei University
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign

Skills you can learn in Marketing

Market (economics) (28)
Social Media (15)
Marketing Strategy (14)
Analytics (13)
Brand (13)
Digital Marketing (13)
Marketing Analytics (11)
Plan (11)
Advertising (9)
Modeling (9)
Social Media Marketing (9)
Brand Management (7)

Frequently Asked Questions about Text Mining

Text mining is the process of extracting meaningful information from unstructured text data. It involves using techniques from natural language processing, machine learning, and statistics to analyze text and uncover patterns, trends, and insights. This field is important because it enables organizations to make data-driven decisions, enhance customer experiences, and gain a competitive edge by leveraging the vast amounts of textual data generated every day.‎

Careers in text mining are diverse and can be found across various industries. Some potential job titles include Data Scientist, Text Mining Analyst, Business Intelligence Analyst, and Marketing Analyst. These roles typically involve analyzing large datasets, developing algorithms for text analysis, and providing insights that drive strategic decisions. As businesses increasingly rely on data, the demand for professionals skilled in text mining continues to grow.‎

To succeed in text mining, you should develop a mix of technical and analytical skills. Key skills include proficiency in programming languages such as Python or R, knowledge of natural language processing techniques, and familiarity with machine learning algorithms. Additionally, understanding data visualization tools and having strong analytical thinking abilities will enhance your effectiveness in this field.‎

There are several excellent online courses available for learning text mining. Some recommended options include Text Mining and Analytics, which covers foundational concepts, and Applied Text Mining in Python, which focuses on practical applications using Python. These courses provide a solid grounding in both theory and practice, making them suitable for learners at various levels.‎

Yes. You can start learning text mining on Coursera for free in two ways:

  1. Preview the first module of many text mining courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in text mining, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn text mining effectively, start by exploring introductory courses that cover the basics of text analysis and natural language processing. Engage with hands-on projects to apply your knowledge in real-world scenarios. Additionally, practice coding in Python or R, as these languages are commonly used in text mining. Joining online communities or forums can also provide support and resources as you progress in your learning journey.‎

Typical topics covered in text mining courses include text preprocessing, sentiment analysis, topic modeling, and information retrieval. Courses may also explore advanced techniques such as machine learning applications in text mining, data visualization methods, and case studies demonstrating real-world applications. This comprehensive approach ensures that learners gain a well-rounded understanding of the field.‎

For training and upskilling employees in text mining, consider courses like Text Mining for Marketing and Hands-on Text Mining and Analytics. These courses are designed to provide practical skills and insights that can be directly applied in the workplace, making them ideal for organizations looking to enhance their team's capabilities in data analysis and decision-making.‎

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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