Yiga AI

Course 4 of 16

Data Scientist Interview Prep

Case studies, Coding rounds, Stats questions, and more.

Yiga AI

Intermediate en

Intermediate · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
17
Hands-on exercises
17
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Python for Data Science Refresher

Statistical Thinking

Supervised Learning with scikit-learn

Unsupervised Learning

Syllabus

Every module, step by step.

4 modules · 22 lessons · 14 hours · 1 graded project

848 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 6 lessons · 3.1 hoursCase studiesModule 1 of 4 in Data Scientist Interview Prep.

  1. Quick start: your first useful AI result

    A 5–10 minute win you can use today.

    Lesson

    8 min

  2. Overview and set-up

    Overview and set-up — Case studies in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  3. Core concepts

    Core concepts — Case studies in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  4. Worked example

    Worked example — Case studies in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  5. Hands-on practice

    Hands-on practice — Case studies in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  6. Module quiz: Case studies

    Check what you learned in Case studies before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedCoding roundsModule 2 of 4 in Data Scientist Interview Prep.

  1. Overview and set-up

    Overview and set-up — Coding rounds in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Coding rounds in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Coding rounds in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Coding rounds in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Coding rounds

    Check what you learned in Coding rounds before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedStats questionsModule 3 of 4 in Data Scientist Interview Prep.

  1. Overview and set-up

    Overview and set-up — Stats questions in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Stats questions in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Stats questions in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Stats questions in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Stats questions

    Check what you learned in Stats questions before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedPortfolio reviewModule 4 of 4 in Data Scientist Interview Prep.

  1. Overview and set-up

    Overview and set-up — Portfolio review in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Portfolio review in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Portfolio review in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Portfolio review in Data Scientist Interview Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Portfolio review

    Check what you learned in Portfolio review before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Data Scientist Interview Prep

    Apply everything from Data Scientist Interview Prep in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Scientist Interview Prep to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
Joel N., Career readiness

Your instructor

Joel N.

Career readiness

Connects technical learning to portfolios, interviews and confident career moves.

Amina Hassan, Yiga learner

“The track removed the uncertainty. I knew what to learn next and what to show employers.”

Amina Hassan

Career switcher, Dar es Salaam

Continue with

Your next best step.

Following the order of Data Scientist with Python.

See the full chain

Next lesson

Quick start: your first useful AI result

Data Scientist Interview Prep

8 min · Resume

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Course 6 in the track

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Business framing, Modelling, Fairness check, and more.

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Course 7 in the track

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pandas, NumPy, Plotting, and more.

Beginner · Course · 3 weeks at 5 hrs/week

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