# Learning Data Science with Kaggle 2026: Zero-to-Master Deep Turkish Guide

> Source: https://sukruyusufkaya.com/en/blog/kaggle-veri-bilimi-ogrenmek-turkce
> Updated: 2026-05-13T19:58:04.123Z
> Type: blog
> Category: yapay-zeka
**TLDR:** Comprehensive Turkish guide for learning data science with Kaggle from zero to Master: platform structure (Notebooks, Competitions, Datasets, Models, Discussions), 5 progression tiers (Novice → Contributor → Expert → Master → Grandmaster), per-tier requirements + process, 20+ free Kaggle Learn courses, 6-month plan from first competition to first medal, ensemble + stacking + blending techniques, GPU/TPU notebook strategies, tabular vs CV vs NLP competition differences, Turkish Kaggle masters success stories, team formation tactics, code competitions, Notebooks tier separate path, dataset/discussion medal strategy, optimizing Kaggle profile for job hunting, 10 practical tips.

<tldr data-summary="[&#34;Kaggle, operating under Google since 2017, is the worlds largest data science + ML community platform with 18M+ registered users. Competitions + notebooks + datasets + community + learning under one roof.&#34;,&#34;5 progression tiers: Novice (after signup), Contributor (1 sub/comment/upvote), Expert (1+ bronze), Master (1+ gold or 2+ silver), Grandmaster (5+ gold + 1 solo gold). Each tier in 4 categories: Competitions, Notebooks, Datasets, Discussion.&#34;,&#34;Kaggle Learn: 20+ FREE Python/ML/DL/SQL/AI courses. 2-4 hour mini courses. Gold gateway for beginners.&#34;,&#34;First competition to first medal: 6-12 months with discipline. Strategic path: 3 months Kaggle Learn + entry competitions, then 3-6 months tabular + ensemble, then 6-12 months specialized (CV/NLP) + teamwork.&#34;,&#34;Tabular competitions (XGBoost, LightGBM, CatBoost ensemble) the fastest path to medals. CV/NLP competitions require more GPU + expertise. Code competitions combine competition + coding skill.&#34;,&#34;Turkish Kaggle masters: Onur Tasar (Master), Hakan Tekgul (Master), Necip Fazil Atay, Erhan Saribal — Turkish community active via Discord + meetups.&#34;,&#34;For job hunting: 5+ Notebooks publications + Expert+ tier + specialized area like Turkish NLP + push notebooks to GitHub. CV mention Kaggle Expert/Master valuable for unicorns like Trendyol, Getir, BiTaksi.&#34;]" data-one-line="Kaggle 18M+ user world data science hub — Turkish beginners can reach Expert tier in 6-12 months, proven contribution to job placement."></tldr>

## 1. What is Kaggle?

Founded 2010 by Anthony Goldbloom, acquired by Google in 2017. World's largest data science + ML community platform. 18M+ registered users in 2026.

## 2. Five Tiers

Novice → Contributor → Expert → Master → Grandmaster. Each tier in 4 categories (Competitions, Notebooks, Datasets, Discussion).

## 3. Kaggle Learn

20+ free mini courses (2-5 hours each). Best entry point for beginners.

## 4. Competition Types

Featured, Research, Recruitment, Getting Started, Playground, Community, Code Competitions, Simulation.

## 5. Tabular Standard Stack

XGBoost + LightGBM + CatBoost + Optuna + custom feature engineering. CPU sufficient.

## 6. CV/NLP Stack

PyTorch + timm + albumentations + Hugging Face transformers. GPU required.

## 7. Team Formation

Tabular: 2-3 people. CV/NLP: 3-5 people. Find teammates via Discord, GitHub, meetups.

## 8. Turkish Community

Discord "Kaggle Türkiye", Telegram, LinkedIn groups, Kaggle Days Istanbul annual meetup.

## 9. Job Profile Optimization

Expert+ tier, 5+ quality Notebooks, GitHub link, LinkedIn integration, recent activity.

## 10. Conclusion

6-12 months disciplined work for Expert tier. Hybrid Kaggle + real projects strongest for job search.