Your Data Science Library

A starting point for every step of your data science career.

Aug 17, 2025

Over the past year, I’ve written all kinds of data science articles, from landing your first role to growing into senior positions, and even exploring the frontiers of AI.

What you’ll find here is the entire library: 40+ articles organized so you can jump straight to what matters most to you.

For your convenience, I’ve tagged premium articles with this emoji 💎. If you want to access them in full as well as get instant access to additional resources, upgrade your subscription (or see what paid subscribers get).

The Library

Keep scrolling, or click a link to jump straight to the section you’re most interested in and start diving deeper:

Some sections are packed. Others are still light, which is natural since I’ve been writing based on what I’m working on or thinking about at the time.
But don’t worry, my plan is to keep filling the gaps, so if something feels thin now, chances are it will grow.

🎁 Paid subscribers get:

Full access to all public + premium posts.
A free copy of “Data Science Project Ideas (2025 Edition)”.
A free copy of “Data Science Interview Case Studies (2025 Edition)“.
25% off coupon for 1:1 mentoring session.
Occasional live Q&As and exclusive workshops.
And of course, my gratitude 🙏 I spend 6+ hours crafting every article I send out, not to mention the countless hours that go into creating additional resources.

To become a paid subscriber, click the button below:

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🚀 Breaking Into Data Science

For students, career switchers, and anyone landing their first role.

This is where most people start: how to craft applications, handle interviews, and make your first career moves in data.

Crafting Applications

Technical Interview

Early Career Moves

📈 Career Growth & Leadership

For data scientists ready to level up and stand out inside their company.

Getting the job is one thing. Growing inside your company, influencing others, and positioning yourself for leadership is another.

Promotions & Advancement

Leadership & Influence

The Art of Stakeholder Management

Strategic Thinking

Finding Success as a Data Scientist in Tech (Part 1): Developing Product Sense

🛠️ Core Technical Skills

Sharpen your skills with analysis, statistics, SQL, and machine learning.

This is the craft side of the job: building, analyzing, and interpreting data. These are the skills you’ll keep coming back to throughout your career.

Data Analysis & Statistics

SQL & Data Workflows

ML & MLOps

EDA & Visualization

📦 Projects & Portfolios

Showcase your skills and build projects that stand out.

A portfolio is often the bridge between “I know the skills” and “I can prove it.” These articles help you choose the right projects and scale them.

🤖 AI & Future Trends

Understand and leverage the latest advances in AI and evolving technologies.

This is where the field is moving quickly. Expect this section to grow as AI reshapes the way we work as data scientists.

AI & GenAI

Future Skills & Upskilling

📊 Business Use Cases

Applied data science in real-world domains.

This section is still small, but I’ll be adding more use cases over time.

🎙️ Interviews & Journeys

Stories and lessons from data scientists in the field.

These are personal stories, mine and others’. They’re here to remind you that there are many paths into and through this career.

That’s the full library as it stands today, hope it serves you well!

If you are ready to upgrade your subscription and unlock all premium posts as well as the key resources, just click the button below 👇

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Oh and big thanks to

The Palindrome

for inspiring this library. I highly recommend you check them out if you are passionate about the intersection of math and ML.

To Be a Data Scientist

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