Data Science

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How to Structure Your Data Science Project (With Frameworks & Best Practices)

Ever felt lost in messy folders, so many scripts, and unorganized code? That chaos only slows you down and hardens the data science journey. Organized workflows and project structures are not just nice-to-have, because it affects the reproducibility, collaboration and understanding of what’s happening in the project. In this blog, we’ll explore the best practices plus look at a sample project […]

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Top 18 Power BI Project Ideas For Practice 2026

Power BI is an influential tool, shaping raw data into informative visuals and reports. With a user-friendly interface and formidable functionalities, Power BI is an invaluable platform for individuals to refine their skills through hands-on projects. By engaging in Power BI practice projects, beginners and experts can significantly augment their prowess. In this article, we

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15 Best Python Books for Beginners to Advanced Learners [2026 Edition]

There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are best suited for beginners, while others are designed for experienced programmers or learners with specific goals. In this article, I have curated the best Python books across different categories

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Guest Post: The Backwards Conversation (part 1 of a series)

Most conversations between decision makers and data professionals begin back-to-front If you’re a decision maker who wants to make the best use of data and other information resources, such as artificial intelligence (AI), to support your decisions, chances are that conversations between you and your data analysts is happening back-to-front. Data analysts should encourage us

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A Framework for How Data Informs Decisions The Decision Intelligence / Data Science Integration Framework

As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how

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Understanding what we mean by “Decision” in ML/AI/DI

In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions: Decision TypeNameQuestion answeredPrimary information SourceTypical success criterionTypical methodAML classification“Decisions That”: “What is this picture?” “What disease does this person have?” “Is this a cat?”DataTrue positive, true negativeSupervised learningBML regression“Decision

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The #COVID19 Driver’s Seat

I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery.  I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID

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Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch

I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more?

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Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture

Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face under an Apache 2.0 license, and it targets forecasting workloads without task specific fine tuning. The model extends TimesFM 2.0

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