End-to-End Data Analysis project

Data analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.

The steps to perform Data Analysis depends on the end goal we want to pursue such as to drive business decisions, evaluate performance, for making predictions, etc.

In this tutorial, we will perform Data Analysis with the end goal of feeding the data to a Machine Learning model i.e for making predictions.

This is a beginner-friendly end-to-end project for Data Analysis. The only prerequisite of the project is to know Python. Other than it, everything is covered in the project itself.

Perks of this project

• This project is prepared while keeping beginners in mind.
• You will learn the answers to the three most important questions, i.e., Why, When, and How to do a particular thing.
• The concepts used in performing a step are explained there and then in a simple way for beginners.
• This project follows a no-spoon-feeding approach. So, we will explain a particular concept and then you'll have to figure it out on your own whether the problem given to you can be solved by that concept or not.
• You will gain knowledge of several libraries commonly used in the ML world and how to use them.

Note: This project is for learners who like to use their brains because learners will have to complete every step on their own. We will just provide you with the instructions to perform a particular step. All the work, you will have to do on your own. But don't worry, in case you get stuck, hints and answers are provided at every step.