Data Analytics & Business Intelligence

If you’ve ever been asked the difference between WHERE and HAVING in an interview, you probably gave the textbook answer: "WHERE filters… Continue reading on Me

Businesses across every industry generate huge amounts of data every day. From online shopping and digital payments to healthcare records and social media activ

The Hidden Risk Behind Every AI Investment Continue reading on Medium »

I’ve worked across the data field long enough to see the pattern — and it has nothing to do with which tool is actually best. Continue reading on Medium »

In the age of AI, standing out here means a lot more than ever. Here are three tips to walk into your next interview with confidence. The post Surviving the Dat

SQL turned 50 this year. It is still the single most requested skill on every data analyst job posting — and the roadmap to mastering it… Continue reading on Me

The tools I use for analytics and reporting have changed more than I expected, yet my questions for any analytics project haven't moved much. The post I Complet

When working with large datasets, duplicate records can quickly become a headache. They inflate file sizes, distort analysis, and lead to… Continue reading on M

Pemanfaatan Artificial Intelligence (AI) dalam dunia kerja terus meningkat, termasuk untuk kebutuhan analisis data. Continue reading on Medium »

I run a thing that snapshots every open role on a few thousand companies’ own Greenhouse, Lever, and Ashby boards once a day — about… Continue reading on Medium

can you explain how the stack is connected to the backtracking algorithms(maze, file directories) and calling functions(call stack) everything inside () was giv

Hi, part of my job is to plot specific data from charging and discharging a battery via its BMS (battery management system) app periodically. It would make my l

From decades-old policy administration systems and fragmented claims databases to disconnected underwriting platforms, insurers today are dealing with massive v

High-performance ingestion strategies that reduce latency and scale data processing efficiently Continue reading on Medium »

One Data Structure That Can Cut Database Traffic by 90% Continue reading on Medium »

In this article, we are going to explore how to build your custom functions on Google Sheets, much like Excel VBA, but easier. Continue reading on Medium »

Originally published on Progressino By the Strategy Desk at Progressino Editor's note: This article explores Retail losses in India’s derivatives market: A re-e

Enterprise data loss is very different from losing files on a personal computer. A failed laptop SSD is one thing, but a failed RAID array… Continue reading on

Let me tell you something that took me an embarrassingly long time to figure out. Continue reading on Medium »

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The 5 things worth building that automation can’t replace — and how you can start this week. Continue reading on Data Science Collective »

Text sorting can feel small until two databases give different answers for the same text. Reports can place uppercase names ahead of… Continue reading on Medium

“Data is the new oil,” the quote says. But in reality, it may be far more valuable than oil, because oil is still measured in fiat… Continue reading on Medium »

Julius AI vs ChatGPT for Data Analysis: I Tested Both for a Month (2026) I've been burnt by "revolutionary" data tools before. So when I decided to pit Julius A

Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Tweedie distribution depends entirely on how

Everything you need to learn, in the right order, with no fluff — your step-by-step guide to becoming a data scientist this year. Continue reading on Medium »

How data science turns resource allocation from an argument about opinions into a decision you can actually defend. Continue reading on Medium »

Turning model coefficients into a 0–1000 score, with risk classes and stability checks The post How to Build a Credit Scoring Grid From a Logistic Regression Mo

I'm going into 2nd year CS (Data Science) and was thinking of building my own ATS/resume analyzer. The basic idea is to upload a resume, compare it with job des

Many companies still treat privacy and data protection like optional overhead. They will spend aggressively on marketing, customer… Continue reading on Medium »

Often not, most beginners assume that having clean data, visually appealing charts, and well-thought-out dashboards is the most important part of data analysis,

The one skill that quietly separates the people who grow from the people who get stuck — and why most people skip it entirely. Continue reading on Data Science

A few weeks ago, I found myself determining whether different regions of the Netherlands were controlled by the Gull Party, the Corvid… Continue reading on Medi

The practical roadmap I would follow to walk into interviews with confidence Continue reading on Medium »

Python is the language that powers modern Data Science. Continue reading on Medium »

How Gemini solved my Pandas problem in seconds, and why data science fundamentals still matter to spot suboptimal solutions The post I Spent an Hour on a Data P

Organizations today generate vast amounts of operational data from business applications, customer interactions, supply chains, and internal processes. While da

Artificial Intelligence has transformed the way organizations analyze information, automate processes, and make strategic decisions. While… Continue reading on

Why one-hot encoding isn’t always the best approach, and alternative encodings The post Encoding Categorical Data for Outlier Detection appeared first on Toward

It’s not about the code. It’s about the quiet war with your own frustration. Continue reading on Medium »

In the previous article, we learned about three fundamental chart types: Continue reading on Medium »

The day your clean architecture met reality Continue reading on Medium »

The manual work isn’t just getting easier. It’s getting automated away. Here’s the honest map of what survives — and what doesn’t. Continue reading on Medium »

I killed a production server with a CSV file. Continue reading on Medium »

What data teams need to build with AI to make self-healing data architecture a practical reality The post 7 Crucial Barriers Between Data Teams and Self-Healing

When I decided to transition towards Data Engineering, I knew SQL would be the foundation of everything. Continue reading on Medium »

What every Data Engineer needs to understand before AI becomes a standard part of every Data platform! Continue reading on Medium »

Data Analytics vs Data Science vs Business Intelligence: Understanding the Differences and Choosing the Right Career Path Data is everywhere. Every online purch