DAPRF Data Analytics for Policy Research Fellowship

DAPRF Data Analytics for Policy Research Fellowship | An Online National Winter School Program | A Four-Month Immersive Online Hands-On Certificate Training Fellowship Program| September-December 2024 | IMPRI #WebPolicyLearning 

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

An Online National Winter School Program

A Four-Month Immersive Online Hands-On Certificate Training Fellowship Program

DAPRF Data Analytics for Policy Research Fellowship

Details of the #WebPolicyLearning:
Dates: September (11, 18, 25), October (2, 9, 16, 23), November (6, 13, 20,27) and December (4, 10, 21 & 29), 2024
Twelve Consecutive Wednesday Evenings
Time: 6:30 – 8:30 p.m. IST
Platform: Zoom & Data Analytics Learning & Project Experience Certification

Key Highlights: Hands-on Data Analytics Learning with Practice Datasets (excel, eviews, stata, R); Statistics & Econometrics in Practice; Monitoring & Evaluation; AI Data Tools; Spatial Data Analysis- GIS; Thematic Curated Interactive Expert Sessions; Fellows Project Submission (to be published as an ISBN edited book).

Fellowship Batch Size: 30

Course Fee: Professionals: INR 35,600 | Students: INR 26,400 (inclusive of GST)
Early Bird Discounted Fee (till Aug 11): Professionals: INR 30,000 | Students: INR 20,000
Special 20 percent discount for IMPRI Alumni.
Bulk Discounts can be availed for groups of more than 5 participants.
Limited Seats are available for partial scholarships. Write to learningatimpri@gmail.com

Registration Form: https://forms.gle/wiknhECNniZYGG329

Payment of Course Fee: https://pages.razorpay.com/impricoursefee

Alternatively, can use any payment method from here:
https://www.impriindia.com/payment-details/

NOTE: Please don’t proceed to pay without filling out the registration form given above.
Limited Scholarships are Available to select deserving candidates.
For queries, write to: learningatimpri@gmail.com

About

Building on the success of our previous data cohorts, we are excited to offer the DAPRF Data Analytics for Policy Research Fellowship to equip policymakers, researchers, and data enthusiasts with cutting-edge analytical skills. In this course, we go beyond theory and provide hands-on training in data analytics techniques, empowering participants to derive meaningful insights from complex datasets. Our experienced instructors will guide you through various data analysis methods, data visualization techniques, and statistical tools commonly used in policy research. This fellowship will comprehensively cover various data platforms such as ANOVA, Stata, Regression Analysis, Econometrics, Forecasting, Survey Data Analysis, EViews, Data Visualization, Spatial Data (GIS, Arc GIS), Excel-based Sessions, Monitoring & Evaluation, and many more.

Fellows will also engage in hands-on projects, applying the techniques and tools learned to real-world scenarios, ensuring practical application of their skills. Fellows will also be required to present & submit a data project towards the end of the fellowship which will be guided by our experts (to be published as an ISBN edited book). Whether you work in government, academia, or the non-profit sector, this course will enable you to harness the power of data to inform evidence-based policy decisions and address real-world challenges effectively.

Join a vibrant community of learners, engage in collaborative discussions, and expand your network in the field of policy research and data analytics. As we continue to grow our network, we encourage you to make the most of this opportunity to learn and exchange ideas with like-minded professionals.

Key Learning Objectives

• Acquire hands-on training in various data analytics techniques and platforms.
• Master data visualization and statistical tools for policy research.
• Perform comprehensive data analysis including ANOVA, regression analysis, and econometrics.
• Utilize advanced tools like GIS, Arc GIS, EViews for data insights.
• Develop skills in monitoring, evaluation, and Excel-based data analysis.
• Engage in a hands-on project to apply learned techniques and tools in real-world scenarios.

Data-Driven Project and Research Publication

Learning Data Analytics Techniques
The first half of the fellowship is dedicated to learning data analytics techniques. Fellows will receive instructions on hands-on data learning tools and be provided with data sets for practice. This phase ensures that participants develop a solid foundation in data analytics.

Application and Project Development
The second phase of the fellowship focuses on the application of the techniques and tools learned during the program. Fellows are required to work on a project of their choice, guided by experts. This part includes project concept submission, topic finalization, project refinement, and project progress discussions, allowing fellows to apply their knowledge in a practical context.

Project Presentation and Research Essay
The final part of the fellowship includes the presentation of projects by the fellows. These data projects will serve as the foundation for a subsequent research essay. Participants will be guided on how to get their reports published on IMPRI Insights and in other renowned newspapers, magazines, and journals. Additionally, participants will have the opportunity to publish their reports in IMPRI’s edited book with an ISBN.

Previously by IMPRI in Data Analytics –

Data Analytics for Policy Research – Cohort 3 | April 2024 | IMPRI #WebPolicyLearning 
Participants List & Details: Data Analytics for Policy Research – Cohort 3

Data Analytics for Policy Research – Cohort 2 | November 2023 | IMPRI #WebPolicyLearning 
Participants List & Details: Data Analytics for Policy Research – Cohort 2

Data Analytics for Policy Research | October-November 2022 | IMPRI #WebPolicyLearning 
Participants List & Details: Data Analytics for Policy Research

Data, Monitoring and Evaluation | June-July 2023 | IMPRI #WebPolicyLearning 
Participants List & Details: Data, Monitoring and Evaluation

Data, Monitoring, and Evaluation– Cohort 2 | July 2024 | IMPRI #WebPolicyLearning 

Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews | December 2022 | | IMPRI #WebPolicyLearning 
Participants List & Details: Exploratory Data Analysis with Categorical Variables Regression Models: Dummy Variables and Logit/Probit using Eviews 

For whom

This program is suited for individuals at various stages of their careers, from entry-level researchers to seasoned policymakers. Whether you’re seeking to enhance your current skills or transition into a role that involves data-driven policy analysis, this program will provide you with the knowledge and practical experience needed to excel in the rapidly evolving landscape of policy research and analytics.

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 individual certificates for fellowship completion & Hands-on project completion
• Have the opportunity to publish their essays on the IMPRI Insights Blog, which features the articles of eminent people from around the globe.

Program Experts

Prof Mukul Asher, Visiting Distinguished Professor, IMPRI; Former Professor, Lee Kuan Yew School of Public Policy, National University of Singapore (NUS) 

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

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

Prof Vibhuti Patel, Visiting Distinguished Professor, IMPRI

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

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

Dr Radha Ashrit, Deputy Director General (DDG), Development Monitoring & Evaluation Office, NITI Aayog.

Dr Pratap Mohanty, Associate Professor, Economics, Indian Institute of Technology (IIT), Roorkee

Dr Ismail Haque, Assistant Professor, Department of Geography, Faculty of Sciences, Jamia Millia Islamia, New Delhi; Visiting Fellow (Honorary), IMPRI

Dr Prabhu Ponnusamy, Founder/CEO at Iotalytics Research and Analytics Solutions Pvt Ltd

Mr Rakesh Pandey, Doctoral candidate in the Research, Analysis, and Design stream, Pardee RAND Graduate School and Assistant policy researcher, RAND Corporation

Dr Arjun Kumar, Director, IMPRI

Bhanvi, Visiting Researcher and Assistant Director

Convenors:

Dr Simi Mehta, CEO & Editorial Director, IMPRI
Dr Arjun Kumar, Director, IMPRI
Prof Nalin Bharti, Visiting Professor, IMPRI
Prof Gummadi Sridevi, Visiting Professor, IMPRI
Dr Devender Singh, Visiting Senior Fellow, IMPRI

Program Time Structure

Upcoming and Previous IMPRI #WebPolicyLearning Events: See here
Impact Evaluation in Practice | December 2023

Previous similar programs:

Data, Monitoring and Evaluation- Cohort 2.0 | July 2024
Data Analytics for Policy Research – Cohort 3 | April 2024
Data Analytics for Policy Research – Cohort 2 | November 2023
Data, Monitoring and Evaluation | June-July 2023
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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