Data Analytics & Business Intelligence

A scraper can pass every check you wrote and still be wrong about the one thing you actually care...

“Once men turned their thinking over to machines in the hopes that this would set them free. But they only permitted other men with… Continue reading on Medium

Customer churn sounds like a machine learning problem. Continue reading on Medium »

Have you ever wondered why human walking feels so smooth while robots often look clunky and stiff? The answer isn’t just in our brain —… Continue reading on Med

*Introduction * Excel is one of the widely used tools in the corporate world mainly for...

My approach to guiding the choice between Eppo and Statsig, and the lessons learned The post Picking an Experimentation Platform: A Retrospective appeared first

To be honest, when I signed up for a Data Science and Analytics course, it hadn't crossed my mind...

Microsoft excel is a spreadsheet program used to collect, analyze, store, calculate and visualize...

Introduction Excel is a spreadsheet application developed by Microsoft that helps users...

A data scientist builds statistical and machine learning models to help a business find the value hidden in its data. That might mean a… Continue reading on Med

Introduction In today's fast-paced business environments, data is considered the...

A Day in the Life of a Data Scientist Continue reading on Medium »

I have began my journey as a beginner in the data analysis field by learning excel. I have previously...

Most intel tooling costs money, subscriptions, API’s tiers, and it can scale up to thousands of dollars very fast. Continue reading on Medium »

I wanted to do something entirely different than my normal, meet overwatch.earth Explore the world through a fully interactive 3D globe with real-time feeds fro

Introduction Excel is a spreadsheet software that allows you to collect, organize,...

Hey DEV! 👋 I'm Zeba — a Data Analyst and AI enthusiast from Lahore, Pakistan. I just joined this...

The impact of AI on data science Continue reading on The Startup »

These four roles are often confused because they all work with data, but their responsibilities are very different. Continue reading on Medium »

These are the Python questions that refuse to die. Continue reading on Medium »

Most AI models are only as good as their training data. Most organisations find that out too late. Continue reading on Medium »

Volume, velocity, variety, veracity — four dimensions that reveal whether your data infrastructure can actually support your AI ambitions. Continue reading on M

The demand for data science professionals has expanded rapidly across India, and Bhubaneswar is becoming an increasingly important… Continue reading on Medium »

The growing importance of data-driven decision-making has created exciting career opportunities in data analytics. Organizations across… Continue reading on Med

When people first hear about ClickHouse®, the conversation usually starts with performance. "How can...

What JSON string escaping is, the characters you must escape, and how to escape/unescape JSON with examples in JavaScript, Python, Java and C#.

“In very simple terms, the Monte Carlo method consists of creating an artificial history.” N. Taleb. Continue reading on Medium »

In today’s digital economy, data has become one of the most valuable assets for businesses. Organizations across industries are collecting… Continue reading on

Correlation means two things move together. Causation means one is making the other happen. One line of Python finds correlation in… Continue reading on Medium

In everyday life, we constantly need quick and accurate calculations. Whether you're planning a loan, tracking your health, or calculating percentages for studi

Build a Future-Proof Career with GVT Academy Continue reading on Medium »

maybe this should be asked in the Fc26 game subreddit but not sure. Anyway I just saw a video of someone predicting the winner of the world cup using the simula

I wrote recently about how I went from astrology skeptic to someone who couldn’t dismiss it anymore. The short version: I’m a data… Continue reading on Medium »

Introduction In today’s digital world, data is everywhere. Businesses, schools, hospitals and organizations collect large amounts of information every day. One

Chennai has established itself as one of India’s most significant industrial and technology centers. The city’s economic landscape is… Continue reading on Mediu

What is Excel? Well, the simplest answer? Excel is a tool. You might ask, which tool?...

Data visualization in Python is the process of creating charts, graphs, and plots to represent data visually. It helps analysts and… Continue reading on Medium

Handling missing values depends on the context (data analysis, machine learning, databases, surveys, etc.), but common approaches include: Continue reading on M

After working with data for years, I’ve noticed that the most valuable analyses have something in common. Continue reading on Medium »

The test was boring on purpose: take a messy CSV export, figure out what actually changed, and turn it into a short set of notes a founder… Continue reading on

A honest account of modernising a legacy data stack — the wins, the chaos, and the lessons that stuck Continue reading on Medium »

A honest account of modernising a legacy data stack — the wins, the chaos, and the lessons that stuck Continue reading on Medium »

Part 3 of the “Stop Doing This” series. Live dashboard, auto-refreshing every few seconds — no Kafka, no Airflow, no cloud bill. Continue reading on Medium »

Most data bugs don't crash — they drift. DataPact is a zero-dependency framework for declaring what your data should look like, then enforcing it in pipelines a

HARKing: The Silent Statistical Sin That’s Quietly Breaking Science Continue reading on Medium »

HARKing: The Silent Statistical Sin That’s Quietly Breaking Science Continue reading on Medium »

HARKing: The Silent Statistical Sin That’s Quietly Breaking Science Continue reading on Medium »

Automated maintenance strategies to control fragmentation, sustain query performance, and minimize operational overhead Continue reading on Medium »