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