A step-by-step guide to solving SQL queries using ER diagrams. Learn how to identify relationships, apply joins, and write accurate SQL queries.

Learn what Data Analysis is, its different types, the complete data analysis process, and the role of a data analyst. Discover how organizations transform raw data into actionable insights for better decision-making and business growth.

Part one answered "what is attention - How they let a model focus on what matters in a sequence rather than treating everything equally. This post answers a harder question: Does it actually work? I pulled attention mechanisms out of their comfort zone (text, language models, translation tasks) and dropped them into something messier: raw brain signals. The question was simple. Do these techniques actually hold up when the data isn't words in a sentence — but electrical acti

Here's what actually sparked my interest in Attention Mechanisms Back in 2021, I was working on a research study - "EEG Emotion recognition using DEAP dataset" EEG (Electroencephalogram) - if you haven't heard of it, is basically a way to record electrical activity in your brain ,you wear a headset with electrodes, and it captures your brainwaves in real time. The DEAP dataset is a collection of EEG recordings from 32 participants who watched music videos, with their emotio

I had always believed that we could maintain privacy by not revealing too much information about ourselves in online forums and social media. But my perspective changed when I took a course during my graduate studies called “Privacy Aware Computing”. I attended the first lecture without even enrolling in the course because I wanted to know if it was something that would interest me. I was not expecting much. But I was so drawn to the subject. That single lecture was enough t

Before getting into the topic lets first know what is Tableau and Why it is used? What Is TABLEAU? Imagine you are a manager at a growing company. Every day, information comes in from different places sales reports, customer feedback, website visits, and financial records. Soon, you have thousands of rows of data in the form of spreadsheets and databases. Looking at all this raw data feels like trying to read a huge pile of puzzle pieces without seeing the full picture. Th

Type 2 Diabetes doesn't make headlines like cancer or heart disease, yet it quietly affects more people than both combined.

Data visualization is an important skill for every data analyst. Instead of looking at large tables of numbers, charts and graphs make data easier to understand. They help people quickly spot trends, patterns, and important information. Python offers useful tools like Pandas, Matplotlib, and Seaborn that make it simple to create charts and turn raw data into clear and meaningful visuals. In this article, we'll explore the Popular charts that every beginner data analyst should

In Healthcare, data is often available in large quantities with messy and inconsistent format. When I explored this dataset, I noticed missing values, inconsistent formats, outliers, and unstructured clinical measurements. This blog mainly focuses on transforming raw healthcare data into meaningful insights using Python for data cleaning and feature engineering, followed by building interactive dashboards in Tableau. The main goal of this blog, before building dashboards or

Data visualization is an important skill for every data analyst. Instead of looking at large tables of numbers, charts and graphs make data easier to understand. They help people quickly spot trends, patterns, and important information. Python offers useful tools like Pandas, Matplotlib, and Seaborn that make it simple to create charts and turn raw data into clear and meaningful visuals. In this article, we'll explore five easy Python charts that every beginner data analyst s

The term DATA OBSERVABILITY was first coined in 2019. How I define Data observability is that how it allows you to continuously monitor your data and data systems. It helps you spot problems early, understand what caused them, and resolve them before they affect reports, dashboards, or decision making. Data observability monitors a dataset's volume and freshness. Data observability ensures that all expected data is present and refreshed at the correct time. It uses exceptiona

When I started working on a diabetes dashboard data, I wanted something simple: a clean web app where I could explore data, detect outliers, visualize patterns, and run a machine learning model with a known and easy language python. Streamlit is a remarkable Python library that lets you turn a normal Python script into a fully interactive web application. In this blog, I’ll walk through everything I did — from installing packages, building the app, adding caching and navig

Introduction If you’re new to project management tools, learning Jira as a beginner can feel overwhelming at first. But don’t worry this guide will walk you through everything step by step in a simple way. Jira, developed by Atlassian, is one of the most popular tools used by teams to manage tasks, track progress, and collaborate efficiently. By the end of this blog, you will understand how to use Jira and create your first project. What Is Jira? An illustrated guide to JIRA

SQL NULLs often behave unexpectedly and can silently change query results. This blog explores common null traps in filtering, aggregates, subqueries, joins, and more—with practical examples and fixes.

Introduction Have you ever wondered what are null values in data? Honestly, before diving deep, I assumed they were equal to zero, if I encountered them in numeric columns and if in text columns, simply nothing. As a result, I ended up with mismatched numbers, wrong visualizations. My worst nightmare! I got baffled, but I was sure that this must do something with these null values and I decided to learn more about them and their behavior so I can be confident that the

Tableau is a visual analytics platform that empowers users to solve problems and maximize the impact of their data. In a fast‑moving landscape shaped by constant advances in AI and technology, picking up a new tool can understandably feel like a lot to take in. Life without Tableau When we come across a huge amount of data in a theory, it makes us feel confused, tired, and uncertain of the outcomes. In this case, what else can make our everyday life easy to read da

Machine Learning has become one of the most talked-about topics in the industry today. From Netflix recommendations to Google search results, machine learning is everywhere. When I first started learning machine learning, I assumed it was all about complex math and confusing algorithms. But once I understood the workflow, everything started to make sense. Machine learning is not magic. It is a step-by-step process, very similar to how humans learn from experiences. Let's bre

I always thought Machine learning is a complex term, something very difficult to understand for a basic programmer like me. Because of that belief, I assumed machine learning was not my genre at all. Today, I regret thinking that way. Once I started learning it, I realized that the concepts were not that scary at all, as I imagined. In fact, I was able to understand them and even relate them to real-world scenarios. I can now deeply connect the dots. For the first time, I fee

In todays's data saturated world,it's not enough to simply present numbers-we need to create stories that could create an impact. This is...

Photo credit Photo by Claudio Schwarz on Unsplash Todays digital world is data driven. Businesses, governments, finances, medical and...