Data Analyst → Data Scientist

A realistic transition from Data Analyst to Data Scientist: transferable skills, the gaps to close, a step-by-step learning plan and alternative routes. Estimated skill overlap 68%. Difficulty: Hard.

Difficulty: Hard7 stepsDuration: 16 to 20 monthsOverlap: 68%

Transition from Data Analyst to Data Scientist.

Transferable skills

  • Python (pandas/scikit-learn)
  • SQL
  • Data visualisation
  • Business acumen

Skills to learn

  • Machine learning
  • Feature engineering

Step-by-step learning plan

  1. 1. Build on your Data Analyst experience

    2–4 weeks

    Leverage

    • Python (pandas/scikit-learn)
    • SQL
    • Data visualisation
    • Business acumen

    Map transferable skills — Python (pandas/scikit-learn), SQL, Data visualisation — against what a Data Scientist needs.

  2. 2. Close the partial gaps toward Data Scientist

    3–6 weeks

    Improve

    • Statistics & probability
    • Experimentation (A/B)

    Raise Statistics & probability, Experimentation (A/B) to the level a Data Scientist relies on.

  3. 3. Learn the core of the Data Scientist role

    6–10 weeks

    Learn

    • Machine learning

    Technologies

    NumPyscikit-learnPyTorch

    Cover the biggest gaps first: Machine learning.

  4. 4. Master advanced Data Scientist skills

    6–10 weeks

    Learn

    • Feature engineering

    Technologies

    TensorFlowSparkBigQuery

    Handle the advanced topics: Feature engineering.

  5. 5. Get productive with the Data Scientist toolchain

    4–8 weeks

    Technologies

    NumPyscikit-learnPyTorchTensorFlowSparkBigQueryMLflowMatplotlib

    Be hands-on with NumPy, scikit-learn, PyTorch and the rest of the target stack.

  6. 6. Practise Data Scientist work in real conditions

    4–8 weeks

    Ship a portfolio project or take on Data Scientist tasks at work.

  7. 7. Get certified and position yourself as a Data Scientist

    4–8 weeks

    Technologies

    Google Professional Data ScientistMicrosoft DP-100 Data ScientistAWS Machine Learning Specialty

    Update your CV and LinkedIn around Data Scientist, then apply to target roles.

Alternative routes