Future Proof Data Science

What Are Foundation Models, and Why Should Data Scientists Care?

What the landscape looks like as we enter 2026

Dec 4 • 

Andres Vourakis

10

1

November 2025

Jupyter AI: How to Do AI Coding Directly In Jupyter Notebooks

Get started in 5 minutes

Nov 29 • 

Andres Vourakis

25

7

Semantic Layers and the Future of Agentic Analytics

What data professionals should now about this pivotal shift

Nov 13 • 

Andres Vourakis

44

3

9

MCP for All of Your Databases: Giving AI Tools Access to Your Data

Streamline your data science workflow

Nov 6 • 

Andres Vourakis

32

8

5

October 2025

What's Trending in Data Science and ML? Preparing for 2026

Key Learnings from the "Nordic Data Science and Machine Learning Summit" 2025

Oct 30 • 

Andres Vourakis

57

12

9

The Next Chapter for This Newsletter: Introducing "Future Proof Data Science"

You are now part of something bigger

Oct 23 • 

Andres Vourakis

17

2

2

Docker For Data Scientists (Part 1): A Gentle Introduction

Your first steps towards deployment

Oct 2 • 

Andres Vourakis

81

8

14

September 2025

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

3 mistakes I didn’t realize I was making

Sep 18 • 

The Fit Data Scientist

27

5

5

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

What aspiring, junior, and senior data scientists should know to stay future-proof

Sep 9 • 

Andres Vourakis

65

1

12

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

Helping PandasAI understand your business context

Sep 4 • 

Andres Vourakis

15

2

2

August 2025

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

The best way to bridge the experience gap in 2025-2026

Aug 28 • 

Andres Vourakis

33

4

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

Using AI to optimize your analysis workflow

Aug 21 • 

Andres Vourakis

29

7

8