Python Certification Programme - [by Dr. Niyas from Rajagiri Business School]

Python Certification Programme

Data Handling Using Python: Machine Learning & Natural Language Processing

📅 Duration: 27 October – 02 November 2025

🕕 06:00 pm – 08:00 pm (IST) | 27-31 October 2025

🕕 11:00 am – 01:00 pm (IST) | 01-02 November 2025

Online | Live Hands-on Sessions with Guided Mini-Projects

About the Programme

The Python Certification Programme is designed to equip participants with practical skills in data handling, machine learning, and natural language processing. Through a carefully structured, hands-on curriculum, the programme blends essential Python foundations with real-world applications in data analysis, explainable AI, sentiment analysis, and web scraping.

This short-term certification will enable learners to confidently use Python for handling datasets, building predictive models, and uncovering insights from text.

Programme Highlights

Day 1 & 2 – Python Essentials for Data Handling

• Orientation to Google Colab
• Python basics (variables, loops, lists, if-else)
• Data handling with Pandas (filter, sort, add columns)
• Visualization (bar charts, histograms)
• Mini-task: Find top 3 scorers & plot marks

Day 3 – Talk to a Table

• Practical session on Pandas & visualization
• Hands-on exploration of student datasets

Day 4 – Decision Trees & Random Forests (Explainable ML)

• Intro to Machine Learning (supervised vs unsupervised)
• Build & interpret decision tree and random forest models
• Mini-task: Discover factors affecting admissions

Day 5 – Neighbors, Probabilities & Ensembles

• KNN, Naïve Bayes, and Ensemble Voting Classifier
• Mini-task: Compare ensemble vs individual models

Day 6 – NLP Foundations & Sentiment Analysis

• Text preprocessing (cleaning, stopwords, TF-IDF)
• Sentiment classification on feedback data
• Visualization: word cloud & frequent term plots

Day 7 – Web Scraping + Topic Modeling & Sentiment Analysis

• Web scraping with requests + BeautifulSoup
• Topic modeling with LDA
• Outcome: 1-page Insight Summary combining sentiment & topics

Who Should Attend?

• PhD Scholars & Post-Doctoral Fellows
• MBA Students
• Research Analysts & Research Associates
• Faculty Members & Academic Leaders
• Industry Fellows interested in applied data analysis

Registration Details

• Early Bird Fee (till 25 September 2025): ₹1500
• After 25 September 2025: ₹1800

👉 Register Now

Programme Mentor

Dr. Muhammed Niyas

Assistant Professor, Information Systems & Business Analytics

Rajagiri Business School

📩 For details, write to info@servicesetu.org