Your Data Science Library

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

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).

Map of the entire Data Science Library

The Library

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

• 🚀 Breaking Into Data Science

• 📈 Career Growth & Leadership

• 🛠️ Core Technical Skills

• 📦 Projects & Portfolios

• 🤖 AI & Future Trends

• 📊 Business Use Cases

• 🎙️ Interviews & Journeys

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.

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• 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.

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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

• 💎 Here is How to Structure your Data Science Resume (Examples for Every Background)

• Don't Apply Yet: 3 Simple LinkedIn Tweaks Every Data Scientist Needs

• 💎 Why Your Data Science Resume Isn’t Landing Interviews (and How to Fix It)

• How Top 1% Data Science Candidates Land More Interviews

• 💎 10 Proven Ways to Quantify Your Data Science Impact

Technical Interview

• 💎 Ultimate Guide to Cracking the SQL Interview for Data Scientists

• 💎 This Is How I Prepare for Data Science Interviews as a Senior Data Scientist

• How to Pass Data Science Interviews in 2025

• 💎 Referrals: The Most Effective Way to Land Data Science Interviews

Early Career Moves

• Breaking Into Data Science in 2025? Here are 7 Things You’re Probably Asking Yourself

• 💎 Here is How to Actually Find Data Science Internships in 2024

• How to Think and Act Like a Data Scientist to Land Your First Job

• No Money or Job Offers: My Unusual Path to Data Science

• Breaking into Data Science: Strategic Career Moves to Your First Job

• 5 Common Mistakes to Avoid to Successfully Navigate the Data Job Market in 2024

• Optimizing Your First Data Science Tech Stack (Without Dying in the Process)

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📈 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

• 💎 3 Proven Strategies For Landing Your Next Data Science Promotion

• From Junior to Senior Data Scientist: 5 Traits That Accelerated My Career Growth

Leadership & Influence

• The Art of Stakeholder Management

Strategic Thinking

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

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🛠️ 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

• 💎 Survival Analysis Is Underrated: Why Every Data Scientist in Tech Should Learn It

• The “Average” Trap: Your Analysis Might Be Wrong (And You Won’t Even Notice)

• How T-Tests Can Be Useful Beyond A/B Testing (Data Science in the Wild)

SQL & Data Workflows

• 3 Sneaky SQL Traps You Need to Watch Out For in Your Next Analysis

• 5 Sacred Rules for Writing Production-Ready SQL

• 5 Powerful Ways I Use SQL Window Functions

ML & MLOps

• How I Set Up ML Projects That Scale (My Template + Pro Tips)

• Gentle Introduction to Hugging Face Transformers Library: Boost your NLP Skills

• 💎 Feature Importance with SHAP: Easily Interpret Your ML Models

EDA & Visualization

• 5 Underrated Pandas Techniques to Make EDA Easier

• 3 Underrated Visualization Techniques Every Data Scientist Should Know

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📦 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.

• 💎 Ultimate Guide to Building a Data Science Portfolio (That Lands Interviews)

• Better Datasets For Your Next Data Science Portfolio Project

• How to Structure Your Data Science Notebooks So People Don't Hate You

• 💎 The Best Way to Deploy Data Science Projects with Streamlit

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🤖 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

• Testing the Limits of PandasAI (Part 2): Building a Semantic Layer For Better Insights

• Testing the Limits of PandasAI (Part 1): What It Can (and Can’t) Do to Help Data Scientists

• The AI Agent Landscape: What Data Scientists Should Know (And Expect)

• 💎 How I Use ChatGPT to 10x My Analysis Workflow as a Data Scientist

• 💎 GenAI and the Future of Data Science in 2025

• I Spent a Week Diving Into LLMs (for the First Time) as a Data Scientist

Future Skills & Upskilling

• AI and the Data Science Job Market: What the Hell Is Actually Happening?

• 💎 How to Thrive as a Data Scientist in 2025: 3 Key Skill Shifts You Need to Make

• How I'm Currently Upskilling as a Senior Data Scientist in Tech (2025 Edition)

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📊 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.

• The "Duolingo Model" for Retention (and Why You Need One)

• 💎 Maximizing Revenue in E-Commerce Through Dynamic Pricing: A Data Science Business Use Case

• 💎 How to Approach Churn Reduction in Subscription Services: A Data Science Business Use Case

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🎙️ 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.

• Why Your Data Science Degree Won’t Get You Promoted (and What Will)

• 🎥 Overcoming Rejection: Lessons from Applying to 300+ Jobs | Egor Howell (Dat Scientist) | Ep. 3

• 🎥 Turning an Internship into a Full-Time Offer | Khouloud El Alami (Data Scientist @ Spotify, K's DataLadder) | Ep. 2

• 🎥 Breaking Into Data Science Without a Traditional Background | Mandy Liu (Data Scientist, ex-Meta, Smarter Techies) | Ep. 1

• Being a Data Scientist Expat: An American Working In Stockholm, Sweden

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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.