Data Analytics & Business Intelligence

Perspectives from Arjuna Samarakoon and Albert-László Barabási Continue reading on Medium »

Company registry data is the backbone of every credible KYC, KYB, and M &A workflow — yet it...

There is a moment in every data hoarder's life — and in every small media shop's IT history — when...

Introduction Modern organizations generate massive amounts of data that need to be stored...

Most students begin their data science journey through online courses, YouTube tutorials, and classroom assignments. I followed the same… Continue reading on Me

In enterprise database systems, exporting data is a critical operation for analytics, backup, and...

In enterprise data systems, reliability is measured not only by how data is stored, but also by how...

In modern enterprise systems, data integrity is not only about storing correct values—it is about...

Indexed view strategies that accelerate aggregations and reduce query overhead in reporting workloads Continue reading on Medium »

How to mathematically calculate the impact of price elasticity and mixed expenses on your hotel’s net operating income. Continue reading on Medium »

For data folks who are stuck with MS Office. Continue reading on DataAutodidact »

Data has become one of the most valuable assets for organizations across industries. Companies rely on data-driven insights to improve… Continue reading on Medi

If you ask ten data analysts which Python library they use most often, many will likely say Pandas. Continue reading on Medium »

If you ask ten data analysts which Python library they use most often, many will likely say Pandas. Continue reading on Medium »

Building a Sports Data Pipeline: Lessons from Scotland primed for game of their lives...

A small personal automation project for turning fitness data into a useful training system Continue reading on Medium »

Continue reading on Medium »

When Claude Desktop becomes the interface, MCP becomes the bridge, and Databricks stays the governed data backbone, the shape of a… Continue reading on Medium »

I archived 17.2M Polymarket price snapshots on one Mac. Here's what the resolved data says about whether the crowd is actually calibrated — and how to check it

Introduction Statistics is a branch of applied mathematics that helps one to collect,...

In Semester 2, every module is optional. You’ll choose 4 out of 11 available units. The course list was shared in mid-November, and you’ll… Continue reading on

Breaking down the hidden probabilities on the casino floor. Continue reading on Towards AI »

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

Left to my own devices, I write Databricks code in a terminal. Claude Code across the repo, Databricks Asset Bundles to ship, pytest… Continue reading on Medium

I didn’t change the data. I changed how I packaged it. Continue reading on Medium »

Last summer, I was learning data science the way most people do. Pick a popular dataset. Write some pandas code. Run a few plots. Call it… Continue reading on M

A deep dive into the medallion architecture, Delta Lake internals, Z-ordering, and optimized Spark writes — the patterns that separate… Continue reading on Code

Most graduate-level coursework ends with a final exam or paper. The CDS Capstone Project ends with research the UN features on its blog… Continue reading on Med

Your data team just opened a $4,200 BigQuery bill. For a single month. One analyst. 12 queries. The...

Lehman Brothers, Bear Stearns, Sears — and why every strategy built on S&P 500 historical data is missing the companies that mattered most… Continue reading on

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a

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

Imagine two customers buying the exact same product at the exact same price. On paper, they generate identical revenue. In reality, one of… Continue reading on

Public details of the STS 2:1 guidance programme, highlighting our structured, ethical framework. Continue reading on Medium »

Two customers buy the exact same product at the exact same price. One of them quietly costs you twice as much to serve. Same revenue line… Continue reading on M

The Data Tool I Treated Like a Database Turned Out to Be a Better DataFrame Continue reading on Medium »

The release of Pandas 3.0 on January 21, 2026, marks a fundamental paradigm shift in the Python data ecosystem. For web developers and… Continue reading on Medi

There is a particular kind of silence that happens in data teams when a critical system breaks. Continue reading on Medium »

The night of March 6, 2017, will forever be etched into the memory of football fans worldwide. AS...

If you've ever tried to pull live options data into a Python script, you've probably hit the same...

Dashboards are useful when you want your audience to be able to explore data without asking them to read through static tables or code. In… Continue reading on

"The sharps are cleaning up in the UFC betting markets while casual bettors get slaughtered." That...

This week the lakehouse community spent most of its energy on two questions. The first is how the...

​Sample Data Engineering Take Home Test with Solution Continue reading on Medium »

Chronic disease management is influenced by far more than medical treatment alone. Research has consistently shown that factors such as… Continue reading on Med

A location-free model that reads a player’s role from how he behaves on the ball — and the positions he could play. Continue reading on Medium »

Advanced ClickHouse® Aggregating Functions Introduction Aggregation is one of...

Trade-offs in programming languages; LLM bias toward Python/away from Rust; historical perspective; and a use-case of R for advanced data… Continue reading on M