How To Analyze Data Like a Pro Without Coding?

Author(s): Shreepada Rao

Originally published on Towards AI.

Leveraging Databricks assistant and Copilot for your day-to-day tasks to boost productivity
Image by author: Databricks Assistant

“With our new copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language” — Satya Nadella, Chairman and CEO, Microsoft

Recent developments in NLP have opened up a lot of opportunities for automation and productivity. There are several products that have spun out of it, and Copilot and DataBricks Assistant are a few by-products of it. I was amazed by the quality of the code Databricks Assistant produces, the precision, and the boost of productivity. It’s not just limited to producing mundane code but also includes showcasing the optimal code, error fixes, notebook documentation, explaining the code, and code conversion to another language.

The Assistant is available in all DataBricks licenses and helps data scientists/engineers develop their code quickly and significantly reduce development time. The tasks that an Assistant can be used is not just for data import/export but also for analyzing, charts, ML model development, evaluation, creating a data pipeline and list doesn't stops there.

Here is a demo of what you can do with Assistant when you are tasked to analyze a dataset dive into understanding the data, and develop a descriptive analysis:

Prompt: install sklearn datasets,… Read the full blog for free on Medium.

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Published via Towards AI