Category Generation Alpha Data Centre

Impact Evaluation Methods , Basic Statistics and Econometrics in Practice

Facilitating a comprehensive understanding of impact evaluation methods through evaluation designs, statistical techniques and data collection methods to enable cost effective and data driven decision making for development outcomes, A Five-Day Immersive Online Introductory Certificate Training Course titled ‘Impact Evaluation in Practice’ was conducted by IMPRI (Impact and Policy Research Institute) from December 18 to December 22, 2023.

Hands-on Data Learning Session on Regression Analysis with Qualitative variables- Categorical Dependent Variable Regression

Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, organized Data Analytics for Policy Research Cohort 2.0, a One-Month Immersive Online Hands-On Certificate Training Course, to equip policymakers, researchers, and data enthusiasts with cutting-edge analytical skills. On 25 November, 2023, Dr Soumyadip Chattopadhyay,  Associate Professor, Economics, Visva-Bharati, Santiniketan; Visiting Senior Fellow, IMPRI, conducted a Hands-on Data Learning Session on Regression Analysis with Qualitative variables- Categorical Dependent Variable Regression.

Hands-on Data Learning Sessions: Dummy Variable

Generation Alpha Data Center (GenAlphaDC), IMPRI Impact and Policy Research Institute, organized Data Analytics for Policy Research Cohort 2.0, a One-Month Immersive Online Hands-On Certificate Training Course, to equip policymakers, researchers, and data enthusiasts with cutting-edge analytical skills. On 25 November, 2023, Prof. Nilanjan Banik, Professor and Program Director (BA, Economics and Finance), Mahindra University, Hyderabad; Visiting Consultant, IMPRI, conducted a Hands-on Data Learning Session on Dummy Variable.

Diving Deep into Data for Policy Insight

On the third day our first speaker, Prof Nilanjan Banik, Professor and Program Director (BA, Economics and Finance), Mahindra University, Hyderabad; Visiting Consultant, IMPRI, commenced with an exploration of the fundamental question: why engage in data analysis? The discussion delved into the significance of two-sample and one-sample analyses and emphasized the importance of choosing an appropriate outcome variable based on the research objective.

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