Muhammed Niyas K P

Rajagiri Business School, in collaboration with ServiceSetu, is organizing a 6-day online Faculty Development Program (FDP) titled Text Analytics Using Python for Behavioural & Qualitative Researchers from 8–13 December 2025, 6:00 PM to 9:00 PM IST. This hands-on FDP is designed for faculty, PhD scholars, post-doctoral fellows, research analysts, and professionals working with text data, especially in the social sciences, behavioural research, management studies, and interdisciplinary research. The program will cover essential Python skills for researchers, including data cleaning, preprocessing, and organizing textual data. Participants will learn web scraping with BeautifulSoup and Requests, named entity recognition (NER) with spaCy, sentiment analysis using VADER, TextBlob, and BERT/FinBERT, and topic modelling with LDA and embeddings. The curriculum is structured to help transform raw narratives, interviews, and qualitative datasets into meaningful insights, with a focus on practical application and end-to-end text analytics workflows. Key topics include: Python basics for researchers (no coding background required) Data structures and working with data frames Text preprocessing and cleaning Web scraping for qualitative data Named entity recognition and event extraction Sentiment detection in text Topic modelling and embeddings The resource person for the FDP is Dr. Muhammed Niyas K P , Assistant Professor in Information Systems & Business Analytics at Rajagiri Business School. All participants will receive practice codes, session recordings, and certificates upon completion. Eligibility: Open to faculty members, PhD scholars, post-doctoral fellows, research analysts, research associates, and working professionals. No prior coding experience is necessary. Fees: INR 1950 (including GST) for Indian participants, USD 50 for international participants, and INR 1500 for ServiceSetu Premium Members. Premium membership offers additional benefits such as free workshops and discounts on conferences and certificates. Application Deadline: 6 December 2025. Register online using the provided links or QR codes. For more information, contact [email protected].