Data is available in a variety of structured and unstructured datasets, residing in text, images, videos, user conversations, social media platforms, the Internet of things (IoT devices), real-time events that stream data, legacy databases, and data sourced from professional data providers and agencies. When one is working with so many different sources of data, it becomes important for the person working on the data to understand the different concepts related to data before one can start perforning analytics on them.
The objective of this tutorial is to make readers learn essentials of data analytics so that they know what they are working when they start performing the data analytics..
In this tutorial, the author has following discussion items:
- Different types of data and basic statistics associated
- Probability essentials for data analysis
- Analyzing probability distribution
Let's deep dive!!