Dear Colleagues and Scholars,
While many scholars explore these methods conceptually and apply them in their research, a persistent challenge remains: many of us cannot implement these techniques effectively due to a lack of foundational knowledge in R and Python. Consequently, our research often remains limited to conventional tools, restricting both methodological depth and publication potential.
To address this gap, I am announcing an offline residential workshop focused on building foundational proficiency in R and Python. As W. Edwards Deming aptly stated, “In God we trust; all others must bring data” Today, bringing data means having the ability to work with it using modern tools.
The workshop will begin with the basics of R and Python, ensuring accessibility for beginners, and then gradually progress to essential statistical techniques such as correlation, hypothesis testing, and Structural Equation Modeling (SEM). The objective is to enable scholars to confidently apply contemporary analytical methods in their own research.
In doing so, participants will not only overcome technical barriers but also position themselves for stronger, more rigorous, and publication-ready research. More importantly, proficiency in these tools opens opportunities to apply novel methodologies that top-tier journals increasingly expect, significantly enhancing chances of publication. As Hal Varian emphasizes, the ability to extract value from data is a critical skill of this era, one that directly enhances both research quality and academic impact.
If you are serious about upgrading your research capabilities and moving beyond methodological limitations, I encourage you to take this step forward and be part of this learning experience:
Offline Residential Workshop on Demystifying Statistics using R-Studio and Python
April 26–30, 2026Registration:
https://forms.gle/zB2FR4wxo1VjUWQY6Venue: NIT Kurukshetra
Seats limited to 30
Details: Attached
Stop analysing the past. Start coding the future.
Happy Learning
Neeraj