

PG Diploma in Statistical Methods and Analytic
1. About the PG Diploma in Statistical Methods & Analytics
This diploma is highly valued by students and working professionals targeting careers in data science, financial analytics, market research, quality control, and policy analysis, as well as those planning further studies in statistics or econometrics (ISI, IIT, IIM).Students generally:
Hold a Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, or related fields.
Seek to develop both theoretical understanding and practical expertise in analytics and statistical modeling.
Aim to use this diploma for career advancement or preparation for higher academic pursuits.
2. What Our Coaching Program Offers
Interactive Classes (Online & Offline)
Delivered via Zoom/Skype for online batches and at our Kolkata & New Delhi centres for offline batches.
Detailed, structured coverage of:
Probability Theory & Random Variables
Estimation, Confidence Intervals & Hypothesis Testing
Regression & Time Series Analysis (Linear, Logistic, ARIMA models)
Multivariate Analysis (PCA, Factor Analysis, MANOVA)
Machine Learning Basics (Classification & Prediction)
Statistical Computing (Excel, R, Python basics)
Data-driven decision-making for projects and industry use cases
Every session is recorded, so students can revisit topics anytime.
Practical & Career-Oriented Training
Hands-on data analysis exercises with real datasets.
Weekly assignments and quizzes to ensure mastery of applied skills.
Project guidance to prepare students for assessments, interviews, and practical analytics roles.
Mock Test Series & Evaluations
Simulated exam-style tests aligned with university and institutional assessment formats.
Personalized performance feedback after each mock.
Past-Year Papers & Practice Modules
Step-by-step solutions to previous PG Diploma papers from leading institutes.
Additional problem banks on regression, time series, and machine learning integration.
Free Study Materials
Notes compiled from ISI-approved references, global textbooks, and industry-level analytics sources.
Includes theory notes, solved problems, coding examples, and case-study templates.
Free for all enrolled students.
24×7 Doubt Support
Doubt resolution through WhatsApp, email, or direct calls.
One-to-one mentorship for difficult topics, project help, or research guidance.
3. What We Cover (Syllabus Highlights)
Probability & Inference – Random variables, Confidence intervals, Hypothesis testing.
Regression & Forecasting – Multiple and Logistic Regression, ARIMA, Seasonal-Trend models.
Multivariate & Advanced Techniques – PCA, MANOVA, Discriminant Analysis, Clustering.
Machine Learning Basics for Analytics – Supervised & Unsupervised methods (introductory).
Statistical Computing – Excel, R, Python for analytics and reporting.
Case Studies & Capstone Project – Real-world data problems from business, finance, and policy.
4. Mode of Classes
Online – Fully interactive live sessions with video backups.
Offline – In-person teaching at Kolkata & New Delhi centres.
Both formats provide identical syllabus coverage, mock tests, and project training.
5. Why Choose Dr. Sourav Sir’s Classes?
Faculty with ISI and global analytics expertise.
Regular mock tests and performance tracking for measurable growth.
Practical focus with projects and case studies to bridge theory and application.
Free, premium-quality notes and past-paper solutions.
Proven success record in helping students top their diplomas and secure data-driven careers.




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