Data, Monitoring and Evaluation
Data, Monitoring and Evaluation
Data, Monitoring and Evaluation

Data, Monitoring and Evaluation

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Data, Monitoring and Evaluation | An Online International Summer School Program | A Two-Month Immersive Online Hands-On Certificate Training Course | June-July 2023 | IMPRI #WebPolicyLearning 

​Teaser​s​: ​​​​ | ​

Data Monitoring Evaluation 2 1

#IMPRI Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, New Delhi invites you to #WebPolicyLearning

An Online International Summer School Program
A Two-Month Immersive Online Hands-On Certificate Training Course on

Data, Monitoring and Evaluation

Details of the #WebPolicyLearning:
Dates: June (3, 10, 17, 24), July (1, 8, 15, 22), 2023
Eight Consecutive Saturdays
Time: 3 – 5 p.m. IST
Platform: Zoom
Course Fee: INR 12,000 (inclusive of GST)

Discounted Fee
For Professionals: INR 9600 | For Students: INR 7200
Additionally, Bulk Discount can be availed for groups of more than 5 participants

Registration Form:

Payment of Course Fee

Razorpay | For Professionals:

Razorpay | For Students:

Alternatively, can use any payment method from here:

NOTE: Please don’t proceed to pay without filling out the registration form given above.

For queries, write to:

Teaser: ​ ​​ | ​


In today’s world, data has become an indispensable part of decision-making processes for individuals, organisations, and governments alike. Data-driven decision-making enables organisations to make informed decisions that are backed by solid evidence, thereby increasing the chances of achieving desired outcomes. Monitoring and evaluation, on the other hand, are critical components of the data management process. They involve tracking and assessing the progress of a project or program, and evaluating its effectiveness and impact.

A course on data, monitoring, and evaluation is therefore essential for anyone who wants to develop the skills and knowledge needed to manage data effectively and use it to inform decision-making. In this course, participants will learn how to collect, analyse, and interpret data using various tools and techniques. They will also learn how to monitor and evaluate projects and programs to ensure that they are on track and achieving their intended objectives. With these skills, participants will be better equipped to navigate the complex world of data management and make informed decisions that can drive positive change.

For whom

This timely course is for everyone who has a keen interest in data and coming of age policymaking. Working professionals, researchers, teaching faculty, civil society members, activists, interested learners, and post-graduate and undergraduate students, would benefit from this course.

Data monitoring and evaluation

Benefits of taking the Course

Participants would:
• Learn from globally and nationally renowned thematic experts and practitioners
• Gain first-hand insights and networking opportunities
• Get course outline and reading list from the experts for learning
• Get access to session videos for 15 days
• Receive a certificate of completion
• Have the opportunity to publish their essays on the IMPRI Insights Blog, which features the articles of eminent people from around the globe.

Upon successful completion of the program, each participant will be awarded a Certificate of Completion.

Course Structure:

Hands-on Data Learning Sessions: Expert: Prof Nilanjan Banik

1.      Probability distributions: Density and Cumulative  (EXCEL-based Session)

·       How to draw these functions

·       What we can infer from the shape

·       Real world application, for instance, Income Distribution Function

·       Dependent versus Independent Variable

·       Concept of Correlation and Multiple Regression

·       T and F-Statistics

2.      Introduction of ANOVA (EXCEL-based Session)

·       Deriving Sum of Squares: Total, Explained and Residual

·       Minimum Sum of Squares

·       Hypothesis Testing

·       One tail and Two tail test with Data

·       Interpreting Statistical Significance

·       P-Value and Critical Value

3.      Interpretation of Model (this Session will be using EVIEWS)

·       Introducing EVIEWS

·       Loading data in EVIEWS and running Regression

·       Interpreting the results

·       Deviation from the Classical Linear Regression Function

·       Check for Autocorrelation, Multicollinearity, and Heteroscedasticity

4.      Dummy Variable (this Session will be using EVIEWS)

·       Interpreting Dummy Variable

·       Application of Dummy Variable

·       Capturing Structural Break in a Data Generating Process

·       Multiple Dummy Variables

·       Interpretation

Note: For hands-on practice, example datasets will be provided during the sessions for learning.

Data Discourses- Expert Sessions:

  • Enhancing Application of Numerical Literacy in Public Policy Applications in India (Prof Mukul Asher)
  • Data Deluge & Public Policy: Promises & Perils (Dr Soumyadip Chattopadhyay)
  • Research Ethics in Primary Data Collection and Analysis (Dr Amar Jesani)
  • Gender Mainstreaming of Data, Monitoring and Evaluation (Prof Vibhuti Patel)
  • Analysis of State Budgets & Public Finance Data (Dr Radhika Pandey)
  • A Practitioner’s Experience of Data, Monitoring & Evaluation (Dr Devender Singh)
  • Field Research, Quantitative Socio-Economic and Regional Data Analysis (Prof Gummadi Sridevi)
  • Spatial Data Analysis – Introduction to GIS and Visualisation (Dr Ismail Haque)
  • Cost-Benefit Analysis (Why Cost-Benefit Analysis?, How to measure Cost, Economic Cost vis-à-vis Financial Cost, Net Present Value, Project Viability, Application: The Case of Agriculture) (Prof Nilanjan Banik)
  • How to Read Financial Statements (analysing income statements, balance sheets, cash flow statements etc) (Mr V. Ramakrishnan)
  • Introduction and Critical Reflections on Forensic & Health Data (Prof Vina Vaswani)
  • Project Management- KRAs & KPIs (Mr V. Ramakrishnan)
  • M&E in Practice & Reporting (Dr Soumyadip Chattopadhyay)
  • The Statistical System in India and an Introduction to Various Official and Other Databases (Dr Soumyadip Chattopadhyay & Dr Arjun Kumar)
  • Introduction to Impact Evaluation Methods (Mr Rakesh Pandey)

Data Monitoring Evaluation 1

Program Experts

Prof Mukul Asher, Former Professor, Lee Kuan Yew School of Public Policy, National University of SingaporeVisiting Distinguished Professor, IMPRI

Dr Devender Singh, Global Studies Programme, University of Freiburg, Germany; Visiting Senior Fellow, IMPRI

Dr Soumyadip Chattopadhyay, Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRI

Prof Nilanjan Banik, Professor and Program Director (BA, Economics and Finance), Mahindra University, Hyderabad; Visiting Consultant, IMPRI

Prof Gummadi Sridevi, Professor, School of Economics, University of Hyderabad; Visiting Professor, IMPRI

Dr Amar Jesani, Independent Researcher and Teacher (Bioethics and Public Health); Editor, Indian Journal of Medical Ethics

Dr Radhika Pandey, Senior Fellow, National Institute of Public Finance and Policy (NIPFP), New Delhi

Prof Vibhuti Patel, Visiting Distinguished Professor, IMPRI

Dr Ismail Haque, Fellow, ICRIER and Visiting Fellow, IMPRI

Mr V. Ramakrishnan, Managing Director, Organisation Development, Singapore

Prof Vina Vaswani, Director, Centre for Ethics, and Professor, Department of Forensic Medicine and Toxicology, Yenepoya (Deemed to be) University, Mangalore

Mr Rakesh Pandey, ​Assistant Policy Researcher, Doctoral Scholar, Pardee RAND Graduate School, RAND Corporation, USA

Prof Nalin Bharti, Professor, Department of Humanities and Social Sciences, Indian Institute of Technology (IIT), Patna; Visiting Senior Fellow, IMPRI

Dr Simi Mehta, CEO & Editorial Director, IMPRI

Dr Arjun Kumar, Director, IMPRI

Data Monitoring Evaluation 4


Previous similar programs:

Data Analytics for Policy Research | October-November 2022

Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews | December 2022

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Additional Details

Registration Deadline Time - 12:00 AM

To register for this event please visit the following URL: →


Date And Time

03/06/2023 @ 03:00 PM


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