Yiga AI

Course 9 of 17

Data Manipulation with pandas

DataFrames, Filtering & sorting, Aggregation, and more.

Yiga AI

Beginner en

Beginner · Course · 4 weeks at 5 hrs/week

Duration
4 weeks
Effort
5 hrs/week
Lessons
20
Hands-on exercises
20
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Introduction to Python

Intermediate Python

Data Manipulation with pandas

Data Cleaning in Python

Syllabus

Every module, step by step.

4 modules · 25 lessons · 17 hours · 1 graded project

1000 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 · 3.7 hoursDataFramesModule 1 of 4 in Data Manipulation with pandas.

  1. Overview and set-up

    Overview and set-up — DataFrames in Data Manipulation with pandas.

    Lesson

    40 min

  2. Core concepts

    Core concepts — DataFrames in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — DataFrames in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — DataFrames in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — DataFrames in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  6. Module quiz: DataFrames

    Check what you learned in DataFrames before moving on.

    Quiz · Locked

    20 min
Module 2 · 6 lessons · 3.7 hours LockedFiltering & sortingModule 2 of 4 in Data Manipulation with pandas.

  1. Overview and set-up

    Overview and set-up — Filtering & sorting in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Filtering & sorting in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Filtering & sorting in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Filtering & sorting in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Filtering & sorting in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  6. Module quiz: Filtering & sorting

    Check what you learned in Filtering & sorting before moving on.

    Quiz · Locked

    20 min
Module 3 · 6 lessons · 3.7 hours LockedAggregationModule 3 of 4 in Data Manipulation with pandas.

  1. Overview and set-up

    Overview and set-up — Aggregation in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Aggregation in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Aggregation in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Aggregation in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Aggregation in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  6. Module quiz: Aggregation

    Check what you learned in Aggregation before moving on.

    Quiz · Locked

    20 min
Module 4 · 7 lessons · 5.7 hours LockedMergingModule 4 of 4 in Data Manipulation with pandas.

  1. Overview and set-up

    Overview and set-up — Merging in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Merging in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Merging in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Merging in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Merging in Data Manipulation with pandas.

    Lesson · Locked

    40 min

  6. Module quiz: Merging

    Check what you learned in Merging before moving on.

    Quiz · Locked

    20 min

  7. Graded project: Data Manipulation with pandas

    Apply everything from Data Manipulation with pandas in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Data Manipulation with pandas 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
Daniel O., Data & analytics

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

Continue with

Your next best step.

Following the order of Data Analyst with Python.

See the full chain

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