How to learn Jupyter Notebooks after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Jupyter Notebooks depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & Data Science) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Jupyter Notebooks

Jupyter notebooks combine code, output, plots and written explanation in one document, which makes them the standard working environment for data exploration, model experiments and teaching. They are used across the data and machine learning coursework of the CSE AI specialisations at VSET. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & Data Science).

• Data and machine learning coursework in the CSE AI and Data Science specialisation at VSET uses Python notebooks as the working environment.
• The CSE AI and ML specialisation uses the same environment for model experiments.
• Python programming coursework across the CSE family is the prerequisite.
• Notebooks are a working tool across that coursework rather than a standalone GGSIPU subject.

Where Jupyter Notebooks skills lead

Graduates applying Jupyter Notebooks skills typically target roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Research Engineer, Business Intelligence Analyst. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.