Acquiring data

This course, developed by Accenture and delivered through FutureSkills Prime, introduces the basic concepts of data required for data science. You work through the categories of data and what each is good for, the terminology and frameworks around big data, metadata and why it matters, and the practical business of validating what you have collected. The second half moves into Pandas, the Python library that most data work in India runs on, and specifically the DataFrame, which is the structure you will spend most of your working life inside.

It is part of the AI Ascend program and is deliberately positioned as a building block. The concepts here are prerequisites for everything more advanced in data science, which is why it is worth doing properly rather than skipping to the modelling.

The course is delivered through video lessons explaining the concepts, knowledge checks to test retention, and hands-on exercise documents that put the learning into practice.