
Data-Driven Decision-Making Using No-Code AI/BI and Econometrics Tools
Data and algorithms are merging in powerful ways to solve organizational and real-world problems, offering immense potential for driving profitable activities. However, unlocking the full value of big data and information requires enhancing stakeholders' analytical capabilities. While many sectors are rapidly adopting applied econometrics, artificial intelligence (AI), machine learning (ML), and other advanced technologies like the Internet of Things (IoT), blockchain, and data mining, a significant skills gap persists across industries and government departments. To address this, it is essential for officers, executives, and managers to gain an understanding of applied econometric techniques and Digital technologies.
This training program, aligned with the Karmayogi Functional Competency Model (Data Analytics - Guna of Rājyakarma), is designed to build participants’ competencies in handling big data and leveraging business analytics tools while decoding AI, ML, IoT, and blockchain technologies to drive critical organizational decision-making. The programme emphasizes key areas such as:
· Data Management: Mastering the handling of big data and analytics tools.
· Data Analysis & Visualization: Exploring, visualizing, and interpreting data effectively.
· Data-Led Decision-Making: Utilizing data for strategic and impactful decisions.
This programme, hence, aims to build competencies of the participants around– (i) handling big data and business analytics tools, and (ii) decoding AI/ML/IoT/Blockchain – that be used to drive critical strategic organizational decision-making.
OBJECTIVES
· Understand the fundamentals of AI, machine learning, and deep learning for decision- making.
· Learn how to use AI & ML to analyze datasets with the help of supervised and un-supervised machine learning tools.
· Gain hands-on experience with Power BI, Tableau, and AI-driven analytics tools for real- time insights.
· Understanding the application of Blockchain in processes.
· Work on real-world case studies and a capstone project to solidify learning.
CONTENT
Day 1 – The programme begins with an introduction to Industry 4.0 and its components like - AI and ML, Cybersecurity, IoT, Cloud etc . Participants will also explore concepts of prompt engineering, machine learning, deep learning applications in business and governance.
Day 2 – This session focuses on Supervised and Un-supervised Machine Learning Concepts. Participants will learn how to use AI & BI to enhance operational efficiency. Hands-on training with Power BI, Tableau and AI-driven analytics platforms will provide practical exposure to real-world applications.
Day 3 – The final session covers concepts of blockchain, real-time AI applications and strategy development. Participants will explore how AI is transforming finance, governance, and business intelligence, followed by a capstone project where they will apply AI-based decision-making techniques to a real-world case study. The programme concludes with group presentations and expert feedback.
METHODOLOGY
The programme adopts an interactive and experiential learning approach comprising:
· Classroom sessions
· Case studies
· Hands-on training
· Live projects
· Experience sharing with industry experts
FACULTY PROFILE
Dr. Karnak Roy – Associate Professor with 17 years of experience in teaching and training. He has trained thousands of officers in Data Analytics, Innovation Management, Research Methodology, and Data-Driven Decision Making.
Dr. Raman Ghosh – Assistant Professor with 10 years of experience in academia and industry. His expertise includes Data Analytics, Artificial Intelligence, Research Methodology, and Data-Driven Decision Making.
The faculty team will include distinguished industry professionals and subject matter experts, ensuring a comprehensive and practical learning experience.
PARTICIPANT PROFILE
This programme is designed for government officials responsible for analytics and data-driven decision- making, middle and senior-level managers from financial institutions, regulatory bodies, consulting firms, and business analysts, economists, and statisticians seeking to strengthen their data analytics capabilities. Additionally, professionals looking to leverage No-Code AI, BI, and econometrics tools to optimise business and governance strategies will find this programme highly beneficial. The curriculum aligns with the Karmayogi Functional Competency Model (Data Analytics - Guna of Rājyakarma), ensuring its relevance to contemporary governance and business challenges.
Organisational sponsorship is essential
VENUE
The programme is fully residential and the participants will be accommodated in air conditioned single occupancy rooms. The college does not provide accommodation for the family. The college is Wi-Fi enabled in a comprehensive way.
DURATION
The programme duration is 3 days starting from July 28 - 30, 2025. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.
PROGRAMME FEE
Residential Fee: Rs. 43,700/- (US $ 683 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.
Non-Residential Fee: Rs. 37,700/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, course ware (in electronic form) working lunch and other facilities of the College including internet usage.
A discount of 10% on the Programme fee for three or more participants from the same organisation will be given, provided the payment is credited into our Bank account before July 25, 2025.
Note: Kindly forward us the details of the Bank/ Wire transfer of the programme fee through email to: [email protected] for confirmation.
MEDICAL INSURANCE
The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominees' medical coverage in the event of hospitalization
Please use the prescribed/attached form. Last date for receiving nominations is July 18, 2025. Kindly contact Programmes Officer for further details (contact details are given at the end of the nomination form).
July 21, 2025. Any withdrawals after this date will entail forfeiture of fee paid, if any.
Participants of the College programmes will automatically become members of the ASCI alumni association.
The College issues a Certificate of Participation on conclusion of the programme.
Bank Account Number | 62090698675 |
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Beneficiary Name | Administrative Staff College of India |
IFSC Code | SBIN0020063 |
Bank Name | State Bank of India |
Branch Address | Bellavista Branch, Raj Bhavan Road, Somajiguda, Hyderabad - 500 082. |
Bank Account Number | 62090698675 |
---|---|
Beneficiary Name | Administrative Staff College of India |
Swift Code | SBININBB327 |
Bank Name | State Bank of India |
Branch Address | Bellavista Branch, Raj Bhavan Road, Somajiguda, Hyderabad - 500 082. |
Country | India |
Administrative Staff College of India
Bella Vista, Raj Bhavan Road, Khairatabad, Hyderabad - 500 082, India.
Telefax (Programmes Office) : 0091-40-23324365
Mobile: 9246203535, Phone : 0091-40-66534247
Fax : 0091-40-66534356
ASCI is the first Management Development Institution set up in the country at the instance of the Government of India and industry in 1956 to impart state-of-the-art management education for practicing managers, a legacy that we proudly take forward with a strong alumni of over 1,63,000. We are proud of our alumni which includes the leaders of Indian industry and senior Civil Servants in the government, public sector undertakings to be a part of this unique organisation. We are thankful to you all for the support extended in the past and look forward to your continuing patronage in 2023-24.
Also, ASCI conducts customized programmes for Government of India, State Governments, Public Sector, Private Sector and various international organisations. Our experienced faculty bring to the table a wealth of academic credentials, rich industry exposure and act as a catalyst in the classroom discussions, case study analyses and tutorials. Our faculty also conduct international programmes which provide an exposure to the global best practices. In addition to this, faculty at ASCI also carry out large number of management research activities (typically about 100 each year) which helps them provide the much needed value addition in the training programmes. In addition, we conduct non-residential programmes at our New Delhi Centre as well as off-campus programmesat the venue of the client’s choice
ASCI, Road No.3, Banjara Hills,
Hydeabad-500 034, Telangana, India
+91-40-66720700/01/02/05
+91-40-66720725
ASCI, C-24,Institutional Area, South of IIT
Behind Qutub Hotel, New Delhi-110016.
+91-11-26962204,26961750,26961850
+91-11-26866097