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Data science is a rapidly evolving field, and staying current on the latest developments and trends can be challenging. While there are popular blogs that many people follow, it’s essential to pay attention to the lesser-known blogs that can provide unique perspectives and groundbreaking ideas.

In this post, we’ve handpicked the top 10 data science blogs you’ve probably never heard of. These hidden gems offer valuable information, thought-provoking insights, and inspiration for your own data-driven journey. So dive into these uncharted territories and expand your horizons with our curated list of data science blogs just waiting to be discovered.

1. Thuwarakesh Murallie’s Data Analytics Blog

About the Author:
• BSc (Hons) in Statistics from the University of Peradeniya
• Experience in Academia, Healthcare, FMCGs, and Freight & Transport
• Expertise in data pipelines, machine learning models, and data analytics for strategic decision-making

Highlighted Article: “How to Become a Terrific Data Scientist (+Engineer) Without Coding”

Excerpt: “People lose interest in data science because some aren’t good at programming. They couldn’t get their head around even an intuitive language such as Python. Yet, for others, it’s pretty natural. But these aren’t inabilities, but different abilities. This story will change your perspective. Even if you can’t or don’t want to program, you can become an exceptional data scientist. Critical thinking and some data literacy will make you even capable of managing a data project.”

2. Anushka Bajpai’s DataScoop

About the Author:
• Bachelor’s in Technology (Electronics and Communications)
• Satellite Network Engineer at Viasat Inc.
• Diploma in Deep Learning from IIIT-B
• Master’s candidate at Liverpool John Moores University, London, UK

Highlighted Article: “101 DATA SCIENCE with Cheat Sheets (ML, DL, Scraping, Python, R, SQL, Maths & Statistics)”

Excerpt: “Data Science is an ever-growing field, there are numerous tools & techniques to remember. It is not possible for anyone to remember all these functions, operations and formulas for each of concept. That’s why we have cheat sheets and summaries. They help us access the most commonly needed reminders for making our Data Science journey fast and easy.”

3. Zach Quinn’s Pipeline: A Data Engineering Resource

About the Author:
• B.A. in Journalism and M.S. in Data Science
• Founder of Pipeline: A Data Engineering Resource on Medium
• Experience in data pipelines, Python, SQL, and data journalism

Highlighted Article: “3 Data Science Projects That Got Me 12 Interviews. And 1 That Got Me in Trouble.”

Excerpt: “Before I share my work and process, I have to acknowledge that while I had no formal tech background, I did have the following traits recruiters and managers found desirable (based on feedback, not my egoism, I swear):
• A master’s degree in data science
• Domain knowledge (I purposely applied for roles within the media, education and hospitality industries, all of which I’ve worked in before)
• Python/SQL/BI development experience (course work, personal projects)
• Communication skills (a huge plus, even for junior engineers or developers)”