Data and AI track

Data Scientist Career Path

A practical path from the fundamentals to job-ready data scientist work — with the skills, projects and interview prep for each stage.

Start the path Check my fit for this role

6-9 monthsEstimated duration

Beginner to AdvancedDifficulty

5Core skills

3Projects with rubrics

Last updated 27 August 2026

Roadmap steps

0 / 5 done

Step 1 of 5 Mark as done

Statistics

Stay on this stage until you can use it without a tutorial open. Finish it with something you can show — a repo, a write-up or a shipped change.

Skills this stage feeds

Python SQL pandas scikit-learn A/B testing

Mini project

Churn model — brief and rubric

Resume tip Write the bullet for this stage the day you finish it — what you built, with what, and what changed because of it.

Interview question to expect Explain bias variance.

Step 2 of 5 Mark as done

Python analysis

Stay on this stage until you can use it without a tutorial open. Finish it with something you can show — a repo, a write-up or a shipped change.

Skills this stage feeds

Python SQL pandas scikit-learn A/B testing

Mini project

Forecasting notebook — brief and rubric

Resume tip Write the bullet for this stage the day you finish it — what you built, with what, and what changed because of it.

Interview question to expect How do you validate a model?

Step 3 of 5 Mark as done

Machine learning

Stay on this stage until you can use it without a tutorial open. Finish it with something you can show — a repo, a write-up or a shipped change.

Skills this stage feeds

Python SQL pandas scikit-learn A/B testing

Mini project

Experiment analysis — brief and rubric

Resume tip Write the bullet for this stage the day you finish it — what you built, with what, and what changed because of it.

Interview question to expect What makes an experiment trustworthy?

Step 4 of 5 Mark as done

Experimentation

Stay on this stage until you can use it without a tutorial open. Finish it with something you can show — a repo, a write-up or a shipped change.

Skills this stage feeds

Python SQL pandas scikit-learn A/B testing

Mini project

Churn model — brief and rubric

Resume tip Write the bullet for this stage the day you finish it — what you built, with what, and what changed because of it.

Interview question to expect Explain bias variance.

Step 5 of 5 Mark as done

Communication

Stay on this stage until you can use it without a tutorial open. Finish it with something you can show — a repo, a write-up or a shipped change.

Skills this stage feeds

Python SQL pandas scikit-learn A/B testing

Mini project

Forecasting notebook — brief and rubric

Resume tip Write the bullet for this stage the day you finish it — what you built, with what, and what changed because of it.

Interview question to expect How do you validate a model?

Certifications worth the time

Google Data Analytics
Machine Learning Specialization

Certificates open a conversation; they do not close one. Treat them as a reason to build something.

Portfolio projects

See every portfolio project brief →

Skills to prove

Python SQL pandas scikit-learn A/B testing

Naming a skill is not enough — each one needs a project or a work example behind it.

Interview questions to expect

Explain bias variance.
How do you validate a model?
What makes an experiment trustworthy?

Practice a question today

QUESTIONS? WE'VE GOT ANSWERS

Roadmap questions

Before you start the Data Scientist path

How should I pick a roadmap?

Choose the roadmap that matches the job descriptions you want to apply for, then adjust it for your current strengths and timeline.

Do I need every certification listed?

No. Certifications are optional signals. Projects and demonstrable skills usually matter more than collecting credentials.

How do I know I am ready to apply?

When you can explain your projects, pass basic interview questions, and show a resume that matches the role's core requirements, start applying while you keep improving.

Still have questions? We're happy to help.

Email us We usually reply within a day

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