Text Data Analysis and Insights Training
Level
AdvancedDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedText Data Analysis and Insights Training
An advanced two-day practical workshop introducing you to Natural Language Processing (NLP) as a powerful analytical tool for business. The training combines solid theory with intensive workshops, showing how to use Python to transform raw text data into valuable business insights.
What You Will Learn
- Advanced text processing techniques with Python
- Implementing NLP models in business processes
- Automatic extraction of key information from documents
- Practical strategies for transforming text data into measurable business indicators
Who is this training for?
Business analysts seeking to expand competencies in advanced data analysis-
Business intelligence specialists interested in modern knowledge extraction methods
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Product managers wanting to better understand analytical tools
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Programmers aiming to learn practical business applications of NLP
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Consultants and specialists from marketing, finance, and customer service sectors
Training Program
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Day 1: NLP Fundamentals and Data Preparation
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Module 1: Introduction to NLP in Business
- Key concepts of natural language processing
- Practical scenarios of NLP applications across industries
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Module 2: Setting Up the Programming Environment
- Configuring Python for NLP
- Installing and managing libraries: NLTK, spaCy, Gensim
- Configuring virtual environments
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Module 3: Text Data Preprocessing
- Techniques for text cleaning and normalization
- Tokenization, stopword removal, lemmatization
- Practical exercises transforming raw text data
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Module 4: Information Extraction
- Named Entity Recognition (NER)
- Identifying key phrases and relationships
- Practical business document extraction scenarios
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Day 2: Advanced NLP Techniques
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Module 5: Advanced NLP Models
- Introduction to neural networks
- Transformers – architecture and applications
- Practical applications of BERT and GPT in business analysis
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Module 6: Text Classification
- Text classification algorithms
- Building ML models for document categorization
- Workshop: company document classification project
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Module 7: Sentiment Analysis
- Building basic sentiment models
- Customer opinion analysis in business contexts
- Workshop: sentiment analysis project for a selected industry
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Module 8: Final Project
- Independent creation of a mini NLP project
- Presentation of solutions
- Individual consultations and feedback
