Data Analytics & Business Intelligence

In this article, I explain why we at the Sentient Trading Society reject unfalsifiable cycle theories. Continue reading on InsiderFinance Wire »

A few years ago I was the data engineer on a mobile game soft launch when Firebase Analytics quietly started dropping events past its 1M/day cap. We didn't catc

Data science has evolved dramatically over the last decade. Businesses once relied on static reports and historical data analysis to guide… Continue reading on

In today’s data-driven world, organizations rely on data to make informed decisions, improve business performance, and identify new… Continue reading on Medium

In this article, we’ll cover essential SQL patterns and workflows that make everyday data analysis cleaner, faster, and easier to scale.

Build real-world geospatial data skills in one weekend with hands-on Python projects and practical workflows. Continue reading on Tierra Insights »

 Upgrade Your Skills. Lead with AI. Continue reading on Medium »

Hi all, Mid–Senior Data Scientist here. I currently work in a team that develops and maintains several fairly large-scale data science projects on a self-hosted

xploratory Data Analysis (EDA) on the Iris Dataset Continue reading on Medium »

Sertifikasi Microsoft Power BI menjadi salah satu kredensial yang banyak dicari oleh calon maupun profesional data analyst. Continue reading on Medium »

Power BI menjadi salah satu tools yang paling sering muncul dalam proses rekrutmen data analyst. Banyak perusahaan tidak hanya menanyakan… Continue reading on M

An opening-weekend analysis through the years Continue reading on The Ugly Monster »

Every equals sign is a quiet decision about what to ignore — and that decision builds the integers, the real numbers, and the surface of a… Continue reading on

Wondering if a Data Science Course in Delhi is worth it for career growth in 2026? With businesses increasingly adopting Artificial… Continue reading on Medium

Veri bilimine adım attığımda Python’un yalnızca bir programlama dili olmadığını, aynı zamanda veriyi anlamak, düzenlemek ve analiz etmek… Continue reading on Me

I benchmarked every technique on a 200,000-row DataFrame so you don’t have to guess which one actually matters. Continue reading on Analytics Vidhya »

The question is not whether your AI analysis looks intelligent. The question is whether anyone would make a better decision after reading… Continue reading on A

The ultimate technical interview guide covering SQL, PySpark, AWS, Python, Data Architecture, DevOps, and Behavioral questions — with… Continue reading on Mediu

SHAP Interaction Matrix Heatmaps Continue reading on Top Python Libraries »

What if you could see every sale, every delivery failure, every unhappy customer, and turn that chaos into a strategy? Continue reading on Medium »

Early peeking at A/B test results inflates false positive rates and leads to costly decisions based on noise. Learn why premature analysis… Continue reading on

Como transformar documentação espalhada do Oracle Fusion em contexto útil para ETL, data marts e consultas mais assertivas. Continue reading on Medium »

Whenever I get online to read or watch videos about working in data there is one thing that is very apparent, and that is: no one cares… Continue reading on Med

Every draft season, front offices argue over the same sliver of prospects at the top. Scouts debate measurables. Agents spin narratives… Continue reading on Med

Welcome to the Spark 4 Freak Show — the only carnival where defaults bite, configs whisper from the walls, and the architecture finally… Continue reading on Tow

The friction between modern operational edge applications and core analytical data systems is a massive architectural bottleneck in… Continue reading on Medium

I thought the Human Genome Project was all about Biology. DNA, Genes, Chromosomes — the usual suspects. Continue reading on Medium »

How a simple forecasting pipeline reduced electricity demand prediction errors by more than 50% using public data, interpretable models… Continue reading on Med

How a simple forecasting pipeline reduced electricity demand prediction errors by more than 50% using public data, interpretable models… Continue reading on Med

Recently, while diving into the Data Mining module for my IT degree, my perspective completely shifted on the massive amounts of data we… Continue reading on Me

How a single timezone assumption can make your entire time-range query silently fail — and how to fix it for good. Continue reading on Medium »

Don't Believe The Vibecoded Estimates, Go Through Every Individual Filing Instead

Sports data is one of the most deceptively complex domains in analytics. On the surface, it looks simple — games, players, teams… Continue reading on Medium »

Most pandas performance problems aren’t caused by Python — they’re caused by writing pandas like regular Python. Continue reading on Medium »

Most pandas performance problems aren’t caused by Python — they’re caused by writing pandas like regular Python. Continue reading on Medium »

In February 2026, Microsoft raised Copilot’s input limit from 500 characters to 10K across every surface. Twenty times more room to type… Continue reading on To

3–5 sets (or more) of SQL alert queries are needed to write for each Databricks table we are managing, and we have 1000+ tables in our… Continue reading on Medi

3–5 sets (or more) of SQL alert queries are needed to write for each Databricks table we are managing, and we have 1000+ tables in our… Continue reading on Medi

LATERAL joins let a subquery in the FROM clause reference columns from earlier in the same FROM clause. Semi joins return rows where a match exists in another t

A simple story about a kid, a lemonade stand, and the five “helpers” who turned it into a tiny empire explained so clearly even a kid… Continue reading on Stack

A/B testing is often called the gold standard of causal inference. Continue reading on Medium »

Disclaimer: This poster and article were created with the assistance of AI to explore a more visual and intuitive way of learning… Continue reading on Medium »

In the digital age, students are constantly juggling assignments, online classes, and endless notifications. While technology has made… Continue reading on Medi

This shift from deterministic to probabilistic planning is a shift in mindset first and foremost.

A practical guide to editing and running .ipynb notebooks on your Android phone or tablet — from zero-setup apps to a full Termux server. Continue reading on Me

Data preprocessing is one of the most critical stages in the data science and machine learning pipeline. Continue reading on Medium »

Why Patient Journey Analytics Matters in Australian Hospitals Continue reading on Medium »

Organizations continue to invest heavily in modern Business Intelligence (BI) platforms to create a single source of truth and enable… Continue reading on Mediu