π₯ How to become a data scientist in 2025?1οΈβ£
First of all, strengthen your foundation (math and statistics) .
βοΈ If you don't know math, you'll run into trouble wherever you go. Every model you build, every analysis you do, there's a world of math behind it. You need to know these things well:
β
Linear Algebra:
Linkβ
Calculus:
Linkβ
Statistics and Probability:
Linkββββββ
2οΈβ£
Then learn programming !
βοΈ Without further ado, get started learning Python and SQL.
β
Python:
Linkβ
SQL language:
Linkβ
Data Structures and Algorithms:
Linkββββββ
3οΈβ£
Learn to clean and analyze data!βοΈ Data is always messy, and a data scientist must know how to organize it and extract insights from it.
β
Data cleansing:
Linkβ
Data visualization:
Linkββββββ
4οΈβ£
Learn machine learning !
βοΈ Once you've mastered the basic skills, it's time to enter the world of machine learning. Here's what you need to know:
βοΈ
Supervised learning: regression, classification
βοΈ
Unsupervised learning: clustering, dimensionality reduction
βοΈ
Deep learning: neural networks, CNN, RNN
β
Stanford University CS229 course: Linkββββββ
5οΈβ£
Get to know big data and cloud computing !
βοΈ Large companies are looking for people who can work with large volumes of data.
βοΈ Big data tools (e.g. Hadoop, Spark, Dask)
βοΈ Cloud services (AWS, GCP, Azure)
ββββββ
6οΈβ£
Do a real project and build a portfolio !
βοΈ Everything you've learned so far is worthless without a real project!
βοΈ Participate in Kaggle and work with real data.
βοΈ Do a project from scratch (from data collection to model deployment)
βοΈ Put your code on GitHub.
β
Open Source Data Science Projects:
Linkββββββ
7οΈβ£
It's time to learn MLOps and model deployment!βοΈ Many people just build models but don't know how to deploy them. But companies want someone who can put the model into action!
βοΈ Machine learning operationalization (monitoring, updating models)
βοΈ Model deployment tools: Flask, FastAPI, Docker
β
Stanford University MLOps Course:
Linkββββββ
8οΈβ£
Always stay up to date and network!βοΈ Follow research articles on arXiv and Google Scholar.
β
Papers with Code website:
linkβ
AI Research at Google website:
link#DataScience #HowToBecomeADataScientist #ML2025 #Python #SQL #MachineLearning #MathForDataScience #BigData #MLOps #DeepLearning #AIResearch #DataVisualization #PortfolioProjects #CloudComputing #DSCareerPath
ο»Ώ
βοΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk
π± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
