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.

Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Analysis, Risk Modeling, Data Preprocessing, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Business Intelligence, Marketing Analytics, Apache
★ 4.7 (15) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Ethics, Data Validation, Generative AI, Prompt Engineering, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Token Optimization, Data Wrangling, Unstructured Data, Fine-tuning, Data Transformation, Data Pipelines, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Text Mining, Unstructured Data, Data Analysis, Exploratory Data Analysis, Data Visualization, Data Preprocessing, Data Presentation, Data Visualization Software, Model Evaluation, Natural Language Processing, Technical Writing, Algorithms
★ 4.5 (51) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
★ 4.5 (157) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Fine-tuning, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

ESSEC Business School
Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Statistical Programming, Customer Insights, R Programming, R (Software), Customer Data Management, Data-Driven Decision-Making, Data Analysis Software, Target Market, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Statistical Methods
★ 4.6 (762) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Classification Algorithms, Applied Machine Learning, Embeddings, Machine Learning Methods, Model Evaluation, Dependency Analysis
★ 2.9 (7) · Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Natural Language Processing, grep, Text Mining, Clinical Informatics, Clinical Documentation, R (Software), R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing
★ 3.7 (23) · Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Data Presentation, Data Literacy, Graphing, Graphic and Visual Design, Data Manipulation, Python Programming
★ 4.5 (6.3K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics
★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation
★ 4.6 (266) · Beginner · Guided Project · Less Than 2 Hours