Fundamental statistical concepts play a crucial role in data science because they provide the necessary mathematical framework and tools

In this post, we demonstrate data preparation techniques and analysis using the Employment data classified by industry

Matplotlib is a handy python library that is used for developing various types of visualizations.

Pandas is a popular python library that is suitable for performing the various data preparation. In this post we explore a number of Pandas

Introduction Bitcoin (BTC) was the first cryptocurrency ever created. It is a peer-to-peer technology which allows operations between its...

I have spent 7 years coding Stata. This post shows the initial step for moving to R.

Data Analyst vs Data Engineer vs Data Scientist” will help you understand the various similarities and differences between them.

Introduction Content: 1. Types of Analytics 2. Population and sample 3. Central Tendency 4. Measure of...

In a machine learning workflow, we generally have to deal with high-dimensional datasets. But most of the time, many features in those...

“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee For banks to figure out if they should...