ManuAI
VI

Tech track · 8 steps · 87 min

Data Scientist

“I want to become a data scientist”

Python, statistics, first models and honest evaluation, ending with a portfolio project you can show. It assumes you are comfortable with spreadsheets; if you are not yet, the Data Analyst track is the gentler start.

3–4 hours a week for 6 weeks

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01

The steps

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  1. 01What data scientists actually doExplain the job in plain words and tell it apart from analyst and ML engineer roles.
  2. 02Python and notebooks for dataLoad a dataset into pandas in a free notebook and filter, group and join it.
  3. 03Exploring data before you trust itRun a basic exploratory analysis and spot the problems that would mislead a model.
  4. 04Probability and statistics for decisionsRead a confidence interval, a p-value and an A/B test result without overclaiming.
  5. 05Your first modelsTrain and compare a baseline, a regression and a decision tree with scikit-learn.
  6. 06Evaluating models honestlyChoose the right metric, cross-validate, and check a model for leakage and unfair errors.
  7. 07Working with AI and LLMs as a data scientistUse AI assistants for code safely and decide when an LLM is the right tool for the job.
  8. 08Communicating results and your first portfolio projectWrite up an analysis for a busy reader and publish one small, honest portfolio project.

02

Quiz and certificate

Data Scientist track quiz

Tick every step, then pass the 10-question quiz with 80% or more. The certificate comes with a link anyone can check.

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03

Where to go next

Free, reputable resources for going deeper. They open on other sites.