Course 13 of 17

Project: Agricultural Yield Analysis (Uganda)

Import data, Seasonal trends, Regional comparison, and more.

Yiga AI

Intermediate en

Intermediate · 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.

Introduction to Python

Intermediate Python

Data Manipulation with pandas

Data Cleaning in Python

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Module 1 · 5 lessons · 3 hoursImport dataModule 1 of 4 in Project: Agricultural Yield Analysis (Uganda).

Overview and set-up
Overview and set-up — Import data in Project: Agricultural Yield Analysis (Uganda).
Lesson
40 min
Core concepts
Core concepts — Import data in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Worked example
Worked example — Import data in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Import data in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Module quiz: Import data
Check what you learned in Import data before moving on.
Quiz · Locked
20 min

Module 2 · 5 lessons · 3 hours LockedSeasonal trendsModule 2 of 4 in Project: Agricultural Yield Analysis (Uganda).

Overview and set-up
Overview and set-up — Seasonal trends in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Core concepts
Core concepts — Seasonal trends in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Worked example
Worked example — Seasonal trends in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Seasonal trends in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Module quiz: Seasonal trends
Check what you learned in Seasonal trends before moving on.
Quiz · Locked
20 min

Module 3 · 5 lessons · 3 hours LockedRegional comparisonModule 3 of 4 in Project: Agricultural Yield Analysis (Uganda).

Overview and set-up
Overview and set-up — Regional comparison in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Core concepts
Core concepts — Regional comparison in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Worked example
Worked example — Regional comparison in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Regional comparison in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Module quiz: Regional comparison
Check what you learned in Regional comparison before moving on.
Quiz · Locked
20 min

Module 4 · 6 lessons · 5 hours LockedRecommendationsModule 4 of 4 in Project: Agricultural Yield Analysis (Uganda).

Overview and set-up
Overview and set-up — Recommendations in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Core concepts
Core concepts — Recommendations in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Worked example
Worked example — Recommendations in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Recommendations in Project: Agricultural Yield Analysis (Uganda).
Lesson · Locked
40 min
Module quiz: Recommendations
Check what you learned in Recommendations before moving on.
Quiz · Locked
20 min
Graded project: Project: Agricultural Yield Analysis (Uganda)
Apply everything from Project: Agricultural Yield Analysis (Uganda) in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Project: Agricultural Yield Analysis (Uganda) 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

Your instructor

Daniel O.

Data & analytics

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

“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

Next lesson

Overview and set-up

Project: Agricultural Yield Analysis (Uganda)

40 min · Resume

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Course 16 in the track

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Beginner · Course · 3 weeks at 5 hrs/week

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