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🤖 FREE · TRACK PROGRESS

Data Science Roadmap: Python to Deployed Models, Step by Step

A clear learning order for data science, with a project to build at every stage.

  • 🐍 Python and maths first
  • 🧠 ML, deep learning, LLMs
  • 🚀 Deployment basics

How to use the Data Science Roadmap

  1. 1. Choose your weekly hoursThe week estimates adjust to your pace.
  2. 2. Learn in orderTick each topic and build the stage project before moving on.
  3. 3. Review progressGet a report with the next topic to learn.

What the seven stages cover

The stages are Python programming, the maths you will use (linear algebra, calculus ideas, probability and statistics), data wrangling and EDA, machine learning, deep learning and modern AI, deployment and MLOps basics, and portfolio and interviews. The machine learning stage is the longest, because evaluation habits such as cross-validation and avoiding data leakage matter as much as the models. The deep learning stage includes transformers, fine-tuning pretrained models and working with LLM APIs and embeddings. Starting out, the tracker shows 0 of 33 topics done, about 33 weeks at 10 hours a week.

Learning data science without getting lost

  • Code and maths together: implement a formula in NumPy as soon as you learn it.
  • Classic ML before deep learning: most business data is tabular, where gradient boosting often beats neural networks.
  • Evaluate honestly: a model with a fair test score is worth more than one with a suspiciously high one.
  • Ship something: a small deployed app shows skills that notebooks alone do not.

Week estimates are a beginner's rough guide; your pace will differ and the field changes quickly, especially around LLM tooling. Progress is saved in this browser only, with export and import. Try ideas hands-on with the neural network playground and the machine learning MCQ quiz, and compare with the data analyst roadmap if you prefer a shorter route into data jobs.

Frequently asked questions

Data analyst or data scientist first?

Many people start as analysts, because the entry path is shorter, then move into data science. Both share SQL, statistics and Python.

Do I need a GPU?

Not to learn. Free cloud notebooks such as Google Colab provide GPUs for the deep learning stage.

Is the Data Science Roadmap free?

Yes, the Data Science Roadmap is free. The first time you see your first progress report, you are asked for your name and WhatsApp number once. After that, this and every other Uncodemy tool opens straight away without the form.

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