What if you could predict sales of your product/service with the help of advertisements made on platforms like TV, Radio and newspaper? The following project gives you a brief run through on how you can do that with the help of predictive analytics using certain machine learning and python packages…

What is automation in Business? When we talk about automation in technical terms, we understand the processes that are carried out with very minimal human input, but how is it useful and required in business intelligence, to understand that let’s dive deep into this term and how it reacts towards…

In simple terms, a cohort is just a group of various subjects that share a defining feature. We can then observe the behaviour of a cohort over time and then it can be compared to other cohorts. This article is a presentation of a cohort analysis with Python. What is…

This project is all about the analysis of the financial budget, 2021. It comprises of an in depth analysis of the funds allocated and the Departments/Ministry’s associated. There are three main libraries that’ve been used here- pandas, numpy and matplotlib. …

The value of a product in the market changes with respect to it’s demand, so let’s assume a situation that a firm’s product demand is changing and what is supposed to be it’s price in the market, and the firm wants to set prices in a way that can even…

There are mainly five categories under Analytics — Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive. When we try understanding them in detail, we realize that all of them have their equal importance, but the question arises whether which one can benefit the most to individuals, small scale businesses, and even conglomerate…

A practical workflow in data science gives a brief detail of how certain libraries in Python can be used to get data insights to analyze the various databases and the information that is contained within them with the help of certain visualizations and table insights. …

Every data-driven decision ever made, every data-driven problem solved correctly undergoes a different kind of cycle that is particularly prepared to handle situations in ways that are different from the process adopted to solve normal problems. Data is efficient enough to provide us analytical insights, but do we understand the…

Visualization looks like a simple word to many of us, but the importance it holds in the field of analytics is always an essential and undeniable fact. …