Data Analytics & Business Intelligence

In the previous article, we learned how to create cleaner and more professional visualizations using: 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,

So far, we’ve learned how to create several important visualizations: Continue reading on Medium »

So far, we’ve learned how to create several important visualizations: Continue reading on Medium »

So far, we’ve learned how to create several important visualizations: Continue reading on Medium »

By Shiva Shankar Reddy Kondakindi Sr Principal Engineer, TLCP — Data & AI Creator, Architect, and Primary Contributor of Hubble Continue reading on Medium »

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

Data lakes and data lakehouses represent two distinct yet related approaches to centralized data management that have emerged as… Continue reading on Medium »

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

 Unlock your future with AI‑powered data analytics! Our Data Analytics with Gen AI course is designed for students, professionals, and… Continue reading on Med

csv-pipe: read and write CSV in TypeScript, several times faster than papaparse ...

This article is the second article in a series of articles documenting my journey in implementing data analytics in an organization. Continue reading on Medium

When the people who understand data the most are also the most suspicious of it Continue reading on Medium »

Helping people make informed decisions may ultimately create more value than providing additional information.

A Python scanner that flags beta-adjusted abnormal moves using SPY, volume spikes, and news catalysts Continue reading on DataDrivenInvestor »

In traditional software engineering, databases are treated as state machines. When a user updates their profile, a transaction executes an… Continue reading on

Four quantitative models uncovered warning signs long before Chapter 11. Continue reading on DataDrivenInvestor »

The more information we all collect and retain, the bigger the challenges get, particularly when so much business data is unstructured.

Value is not an afterthought here: It is literally what is being measured, in euros, with rigor and accountability.

Published on dev.to · Target audience: Pharma engineers, CROs, clinical data architects,...

You’re Tracking Everything. Understanding Nothing. Continue reading on Medium »

In banking, significant customer deterioration rarely happens overnight. Continue reading on Medium »

A trusted data economy will not be built by selling what citizens submitted in good faith. It will be built by proving that Kenya can turn data into public valu

Why Haven’t You Started Learning Data Analytics or AI Yet? Continue reading on Medium »

There is a reason as to why some data science students graduate with job offers and some graduate with confusions — and it has nothing to… Continue reading on M

There is a reason as to why some data science students graduate with job offers and some graduate with confusions — and it has nothing to… Continue reading on M

The 2026 FIFA World Cup could drive significant growth in youth soccer across the United States. Previous host countries, including the U.S. (1994), Germany (20

Introduction Real-time data ingestion is a fundamental requirement for modern analytics...

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

Floating or sub-surface bit barns are all the rage, but unlikely to compete with multi-gigawatt sites

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

In financial markets, every price tells a story — but raw snapshot data, arriving every few seconds in irregular bursts, tells it in a… Continue reading on Medi

I spent five years writing clean, deterministic code before switching to data science. I assumed the transition would be relatively… Continue reading on Medium

Most churn models tell you who might leave. Mine tells you why — and that changes everything. Continue reading on Medium »

Di tengah persaingan dunia kerja yang semakin ketat, para pencari kerja berlomba-lomba menambah berbagai sertifikat ke dalam curriculum… Continue reading on Med

Trong lĩnh vực Data Science, việc quản lý tài nguyên hệ thống là một bài toán cân não. Khi bạn chạy...

Working with relational databases often requires breaking down complex problems into manageable...

Teams often kickstart A/B testing programs with a handful of tests backed by a straightforward process and a shared doc. That works well enough at low volume. E

Why traditional dashboards fail executives, and how to programmatically build the ultimate hybrid visualization in Python. Continue reading on Medium »

Why traditional dashboards fail executives, and how to programmatically build the ultimate hybrid visualization in Python. Continue reading on Medium »

In the era of data, one of the most gratifying career fields, and forward looking fields is that of Data analytics. Data is essential for… Continue reading on M

When building data pipelines for enterprise-scale physical spaces—such as a 20,000-attendee corporate...

Data has become one of the most valuable assets in modern business. However, collecting data is only the beginning. The real advantage… Continue reading on Medi

Your production database wasn't built for reporting. Here's how to add a proper analytics layer with read replicas, materialized views, and smart SQL patterns —

Menurut laporan Forrester, sekitar 60–73% data enterprise tidak pernah digunakan untuk analisis lanjutan atau pengambilan keputusan. Continue reading on Medium