COURSE CATALOG
Training Programmes
iGOT Karmayogi, NSSTA TPAC, and NSSTA courses for competency development
Fundamentals of Survey Design
Learn the principles of survey methodology, questionnaire design, sampling frame construction, and data collection strategies used in national statistical surveys.
Advanced Sampling Techniques for Large-Scale Surveys
Deep dive into multi-stage sampling, PPS sampling, bootstrapping, and variance estimation for complex survey designs used in NSS and census operations.
Statistical Analysis with R Programming
Hands-on training in R for data cleaning, statistical analysis, hypothesis testing, regression modeling, and automated report generation.
Data Visualization for Government Reports
Create effective dashboards and visualizations for statistical publications using modern tools. Covers best practices in data storytelling for policy communication.
National Accounts Statistics & GDP Estimation
Comprehensive course on System of National Accounts (SNA 2008), GDP estimation methodology, input-output tables, and quarterly GDP computation.
Consumer Price Index: Theory & Practice
Construction methodology for CPI (Urban), CPI (Rural), CPI (Combined). Covers weighting diagrams, item baskets, imputation, and international standards.
SQL for Data Management in Government
Database design, SQL querying, data warehousing concepts, and managing large statistical databases for government data systems.
Python for Statistical Computing
Python programming for data analysis using pandas, numpy, scipy. Covers automation of statistical workflows, web scraping for data collection, and API integration.
GIS Applications in Statistical Surveys
Using Geographic Information Systems for survey planning, enumeration block mapping, spatial data analysis, and thematic map generation.
Introduction to Machine Learning for Government
Fundamentals of ML including supervised/unsupervised learning, classification, regression, and practical applications in government data analytics.
Big Data Analytics for Official Statistics
Introduction to big data technologies — Hadoop, Spark, NoSQL databases — and their applications in processing large-scale administrative and survey data.
Data Quality Assurance Framework
Establishing data quality standards, validation rules, imputation techniques, and quality control processes for official statistics production.
e-Governance: Architecture & Implementation
IndEA framework, National e-Governance Plan, Digital India pillars, and practical implementation of e-governance solutions in government departments.
Cybersecurity Essentials for Government Officials
Information security fundamentals, cyber threats, safe computing practices, incident response, and compliance with government security guidelines.
Digital Personal Data Protection Act 2023
Understanding DPDP Act provisions, data fiduciary obligations, consent mechanisms, and compliance requirements for government data processing.
Open Government Data & data.gov.in
Principles of open data, publishing datasets on data.gov.in, data standards, metadata management, and promoting data-driven governance.
Leadership in Public Service
Developing leadership capabilities for senior government officials — strategic thinking, decision-making frameworks, change management, and organizational development.
Effective Communication & Report Writing
Professional writing for government reports, data-driven presentations, stakeholder communication, and public speaking for officials.
Project Management for Government Schemes
Planning, executing, and monitoring government projects using modern PM tools. Covers risk management, stakeholder analysis, and outcome-based monitoring.
Ethics & Integrity in Public Service
Professional ethics, code of conduct, anti-corruption measures, RTI compliance, and building institutional integrity.
TPAC: Advanced Time Series Analysis & Forecasting
ARIMA, SARIMA, VAR models, spectral analysis, and modern forecasting methods for economic and demographic data used in official statistics.
TPAC: Machine Learning for Official Statistics
Applying ML techniques to census data, survey imputation, outlier detection, and nowcasting. Hands-on with Python and scikit-learn.
TPAC: Survey Methodology Refresher for ISS Officers
Refresher course on latest developments in survey methodology, CAPI/CATI techniques, response rate optimization, and non-sampling errors.
NSSTA: Induction Training for SSS Probationers
Comprehensive induction covering Indian statistical system, major surveys (PLFS, ASI, CPI), data processing, and field operations management.
NSSTA: Cloud Computing & DevOps for Statistical Agencies
Cloud infrastructure, containerization, CI/CD pipelines, and deploying statistical applications on government cloud (MeghRaj/GI Cloud).