How a Single DAX Measure Saved Our Client $2.3M in Inventory Costs
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The hidden cost of “almost accurate” data — and the Power BI solution that changed everything It was 11 PM on a Tuesday when my phone rang. The VP of Operations at a …
The Rise of Composable Data Teams
Author(s): Tobi Beck Originally published on Towards AI. Post 6 of the series “Reinventing the Data Team in the Age of AI” About this series: AI is fundamentally reshaping what it means to work in data. From empowering analysts to build pipelines …
K-Means Clustering — What Every Data Scientist Should Know
Author(s): Aamir Raja Originally published on Towards AI. Discussing and simplifying intricacies of K-means clustering for machine learning. Photo by Igor Omilaev on Unsplash K-means clustering. What exactly is this? It’s an extremely useful machine learning model that creates clusters in order …
Performance Optimization in NumPy (Speed Matters!)
Author(s): NIBEDITA (NS) Originally published on Towards AI. Hey guys! Welcome back to our NumPy for DS & DA series. This is going to be the 9th article of this series. In our previous article, we discussed Generating Random Numbers with NumPy. …
Beyond ML Loss Function: Cost Functions and Hypothesis Testing in Supply Chain
Author(s): Siddharth Mahato Originally published on Towards AI. Understand how Cost Functions and Statistics can help you go beyond accuracy with visuals and examples. Source: Image on Unsplash Manufacturing is a large and crucial part of the economy. It involves processing and …
Multi-Agent Workflows & The Right Data Foundation for The Next Evolution of Enterprise AI
Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises …
How I Use AI to Make My Data Analyst DREAM Come True
Author(s): Henry Originally published on Towards AI. Leveraging AI as a Data Analyst: Practical Prompt to Advance Your Career Whether you’re already a data analyst or just aspiring to become one, you must know the importance of working with AI. Photo by …
Beyond Pandas: The Modern Data Analytics and Engineering Techniques With Python (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Outline Introduction The Data Size Decision Framework & Comprehensive Decision Flowchart A Diagrammatic representation based on Team Syntax Preference, and Performance or Integration Requirements Real-World Examples: Log file Analysis, E-commerce instance …
As a Data Analyst, How I Use AI to Get Information from YouTube Efficiently
Author(s): Henry Originally published on Towards AI. Tired of endless tutorials? Stop Spending 20 Minutes Watching Videos Just for a 2-Minute Answer People watch YouTube for many purposes. In this article, we are not talking about watching YouTube for fun, such as …
Build an EDA Playground with Streamlit
Author(s): Himanshu Sharma Originally published on Towards AI. A hands-on guide to building your own Data Prep & Visualization app with Streamlit We’ve all been there: excited to try a new model on a fresh dataset, only to spend hours filling missing …
Claude Code as a Data Analyst: From Zero to First Report
Author(s): Freddie Robinson Originally published on Towards AI. As data analysts we’ve all been there, the dreaded request for the monthly/yearly [insert topic] report, an essential task that’s also a massive time sink. My thoughts for the last week? “Can’t AI just… …
Beyond Pandas: The Modern Data Processing Toolkit for Data Engineering (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Outline Introduction The Data Size Decision Framework & Comprehensive Decision Flowchart A Diagrammatic representation based on Team Syntax Preference, and Performance or Integration Requirements Real-World Examples: Log file Analysis, E-commerce instance …
Is Gemini’s New Data Science Agent Useful? Here’s The Truth
Author(s): John Loewen, PhD Originally published on Towards AI. Testing Python code creation and distribution in Google Colab In Google Colab, Gemini makes it possible to go from a plain-text instruction to a functional, multi-step notebook — without switching tools. In other …
The Ultimate Guide to the SQL WHERE Clause for Data Science
Author(s): Suraj Jha Originally published on Towards AI. Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for Data Science The WHERE clause is the part of the SELECT statement that is …
Unsupervised Learning Series #2: K-Means + K-Modes = K-Prototypes — Understanding How Data Type Defines Your Clustering Strategy
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. When we step into the world of unsupervised learning, one of the first families of algorithms we meet is the K-Family — K-Means, K-Modes, and K-Prototypes.Each member of this family plays a unique …
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