Yiga AI

Course 7 of 16

Python for Data Science Refresher

pandas, NumPy, Plotting, and more.

Yiga AI

Beginner en

Beginner · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
16
Hands-on exercises
16
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 · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

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

Module 1 · 5 lessons · 3 hourspandasModule 1 of 4 in Python for Data Science Refresher.

  1. Overview and set-up

    Overview and set-up — pandas in Python for Data Science Refresher.

    Lesson

    40 min

  2. Core concepts

    Core concepts — pandas in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — pandas in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — pandas in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  5. Module quiz: pandas

    Check what you learned in pandas before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedNumPyModule 2 of 4 in Python for Data Science Refresher.

  1. Overview and set-up

    Overview and set-up — NumPy in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — NumPy in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — NumPy in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — NumPy in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  5. Module quiz: NumPy

    Check what you learned in NumPy before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedPlottingModule 3 of 4 in Python for Data Science Refresher.

  1. Overview and set-up

    Overview and set-up — Plotting in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Plotting in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Plotting in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Plotting in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  5. Module quiz: Plotting

    Check what you learned in Plotting before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedFunctionsModule 4 of 4 in Python for Data Science Refresher.

  1. Overview and set-up

    Overview and set-up — Functions in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Functions in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Functions in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Functions in Python for Data Science Refresher.

    Lesson · Locked

    40 min

  5. Module quiz: Functions

    Check what you learned in Functions before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Python for Data Science Refresher

    Apply everything from Python for Data Science Refresher in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Python for Data Science Refresher 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
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Following the order of Data Scientist with Python.

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Overview and set-up

Python for Data Science Refresher

40 min · Resume

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