Reports, survey comments, complaints, social media posts, contracts and emails hold information that spreadsheets cannot capture. Analysts who can process text at scale find patterns in customer feedback, regulatory filings, news and programme documents that colleagues miss. This ten-day programme builds those skills from the ground up for people who already work with data.
The first half covers Python for text, regular expressions, tokenisation, stop words, stemming and lemmatisation, bag-of-words and TF-IDF representations, and classic classifiers with scikit-learn. You then move to sentiment analysis, topic modelling with LDA, named entity recognition in spaCy, word embeddings and evaluation metrics such as precision, recall and F1. The second half goes further: transformer models with Hugging Face, fine-tuning for classification, summarisation, question answering, multilingual and low-resource language issues including Swahili, semantic search, retrieval and responsible use of large language models, followed by an integrated project. It suits business, research, risk and M&E analysts, data scientists, journalists and developers in banks, telecoms, government, NGOs and universities. Delivery is by classroom, online or in-house. Afterwards you can build, test and present a working text analysis pipeline. A CPD-accredited certificate is awarded.
Most organisational knowledge is unstructured. Customer complaints, call transcripts, policy documents, case notes and public commentary all arrive as words, and manual reading cannot keep pace with their volume. Natural language processing allows analysts to classify, search, summarise and measure text consistently, and recent advances in transformer models have made capable tools available to anyone who can write a little Python.
This ten-day course takes analysts from raw text to deployed insight. Early days build a solid foundation in text preprocessing, feature extraction and supervised learning, so that results can be explained and trusted. Participants then add sentiment analysis, topic discovery, entity extraction and embeddings, learning how to evaluate each technique honestly and spot errors such as data leakage and class imbalance. The later days introduce pretrained and fine-tuned transformer models, summarisation, semantic search and retrieval-based question answering, along with the ethical, privacy and bias issues that arise when models are applied to people's words.
Every day combines a short concept session with extended coding labs in notebooks. The closing project asks each participant to define a text problem, build and evaluate a solution and present findings to peers in plain language.
By the end of the course, participants will be able to:
Participants leave the course with:
The programme is laboratory-driven and paced for working analysts:
Day 1: Text Analytics Foundations
Day 2: Preprocessing and Linguistic Features
Day 3: Text Representation
Day 4: Text Classification
Day 5: Sentiment and Opinion Analysis
Day 6: Topic Modelling and Clustering
Day 7: Information Extraction
Day 8: Transformers and Pretrained Models
Day 9: Search, Retrieval and Multilingual Text
Day 10: Capstone Project and Deployment
The course is designed for analytical professionals with basic Python or data skills, including:
Vision Reach Global Consultancy issues a CPD-accredited Certificate of Completion to participants who attend the ten days and complete the lab exercises and capstone project.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Natural Language Processing for Analysts programme, you'll be able to clean text and represent documents with spacy, tf-idf and word embeddings, train and evaluate text classifiers using precision, recall and f1, perform sentiment analysis and interpret its limits, and discover themes with topic modelling and clustering. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is designed for analytical professionals with basic Python or data skills, including: Data analysts and business intelligence specialists, Data scientists and machine learning engineers, Customer insight and market research analysts, Risk, compliance and audit analysts who review documents, Monitoring, evaluation and research officers, Journalists and media monitoring teams, Software developers adding language features to products, and Statisticians and academic researchers working with text.
Natural Language Processing for Analysts Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Natural Language Processing for Analysts Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Natural Language Processing for Analysts starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Natural Language Processing for Analysts Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Natural Language Processing for Analysts Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Natural Language Processing for Analysts Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Natural Language Processing for Analysts Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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