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CODE: NAI03
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course introduces participants to the essential concepts, techniques, and tools used in analyzing and extracting insights from unstructured text data. The course provides a balance of theory and practice, covering key NLP foundations such as text preprocessing, feature extraction, sentiment analysis, topic modeling, and language models. Through hands-on exercises and real-world case studies, participants will gain the ability to transform raw text into actionable knowledge and apply text mining techniques to diverse problem domains.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the core concepts and workflow of text mining and natural language processing (NLP).
Clean, preprocess, and transform text data for analysis and modelling.
Apply techniques such as tokenization, stemming, lemmatization, and part-of-speech tagging.
Build and evaluate models for text classification, sentiment analysis, and topic modelling.
Use NLP libraries such as NLTK, spaCy, and scikit-learn to perform applied text analysis.
Interpret model outputs to extract insights and support data-driven decision-making.
At the end of this course, you’ll understand:
This course is designed for professionals, researchers and data analysts, who are interested in leveraging text data for decision making, research, or business applications. It is suitable for those with a basic understanding of data analysis or programming who want to build foundational skills in text mining and NLP, as well as those seeking to transition into data science or AI related roles.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
