Data-Driven Decision-Making Using Analytics and AI – Programme Overview
Data and algorithms are revolutionising organisational decision-making, driving efficiency and profitability. However, realising the full potential of big data requires enhancing stakeholders’ analytical capabilities. While industries and government agencies are increasingly adopting applied econometrics, artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), blockchain, and data mining, a considerable skills gap remains.
This training programme, aligned with the Karmayogi Functional Competency Model (Data Analytics - Guna of Rājyakarma), is designed to equip officers, executives, and managers with expertise in applied econometric techniques and digital technologies. Participants will develop proficiency in data management by handling big data, data analysis and visualisation, and data-driven decision-making for strategic and impactful outcomes.
OBJECTIVES
- Enhance ability to make data-driven decisions using statistical models.
- Gain hands-on experience with Power BI and Tableau for real-time visualisation.
- Understand key machine-learning techniques for classification, clustering, and forecasting.
- Explore how blockchain and IoT enhance transparency, security, and operational efficiency.
CONTENT
Day 1: Foundations of Data Analytics
Introduction to data-driven decision-making, fundamentals of analytics, data sources, business impact, hypothesis and testing.
Day 2: Predictive Analytics & Business Intelligence
Exploration of econometric models for forecasting and decision-making. Hands-on exercises using Power BI and Tableau.
Day 3: Machine Learning for Strategic Decision-Making
Introduction to classification models and ML-based decision-making. Application of ML techniques in business contexts.
Day 4: Blockchain & IoT in Decision-Making
Understanding blockchain for transparency & security. IoT’s role in real-time data processing and automation.
Day 5: Advanced Analytics & Capstone Project
Application of advanced analytics through practical case studies. Capstone project using acquired skills.
METHODOLOGY
Interactive teaching with classroom sessions, case studies, hands-on exercises, live projects, and experience-sharing sessions.
FACULTY
- Dr Priya Verma, Assistant Professor of Data Analytics, ASCI.
- Dr Sweety Pandey, Assistant Professor with 10 years of industry & teaching experience.
PARTICIPANT PROFILE
Designed for government officials, policy researchers, managers from financial institutions, banks, regulatory bodies, consulting firms, business analysts, economists, statisticians, and professionals interested in AI, ML, and data-driven governance & business.
VENUE
Fully residential — single occupancy AC rooms, Wi-Fi enabled campus. No family accommodation.
DURATION
The programme duration is 5 days — December 08–12, 2025. Participants must arrive one day before the programme starts.
PROGRAMME FEE
Residential Fee: ₹69,500 + 18% GST (US $1086 for foreigners). Covers tuition, accommodation, meals, e-courseware, and internet.
Non-Residential Fee: ₹59,500 + 18% GST. Covers tuition, e-courseware, working lunch, and internet.
10% discount for 3 or more participants from the same organisation (payment before Dec 06, 2025).
Note: Email payment confirmation to: [email protected]
MEDICAL INSURANCE
Participants must carry medical insurance proof. Sponsoring agency must endorse medical coverage.
LAST DATE FOR NOMINATION
Last date for receiving nominations: December 01, 2025.
LAST DATE FOR WITHDRAWAL
Withdrawal after December 04, 2025 will lead to forfeiture of fee.
ASCI ALUMNI ASSOCIATION
Participants automatically become members of the ASCI Alumni Association.
CERTIFICATE OF PARTICIPATION
A Certificate of Participation will be issued at the end of the programme.
