Future Proof Data Science

3 Updates That Made Google Colab 10x Better For Data Scientists

Is it time to say goodbye to Jupyter?

Dec 16 • Andres Vourakis

14

3

Building a Data Cleaning Agent with LangGraph

Bringing AI into your data science workflow

Dec 11 • Andres Vourakis

44

13

8

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

What the landscape looks like as we enter 2026

Dec 4 • Andres Vourakis

21

1

3

November 2025

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

Get started in 5 minutes

Nov 29 • Andres Vourakis

28

7

Semantic Layers and the Future of Agentic Analytics

What data professionals should now about this pivotal shift

Nov 13 • Andres Vourakis

56

3

13

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

Streamline your data science workflow

Nov 6 • Andres Vourakis

34

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

58

12

9

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

You are now part of something bigger

Oct 23 • Andres Vourakis

18

2

2

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

Your first steps towards deployment

Oct 2 • Andres Vourakis

83

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