Yiga AI

Course 14 of 17

Dashboards with Streamlit

App structure, Widgets, Charts, 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.

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

Module 1 · 5 lessons · 3 hoursApp structureModule 1 of 4 in Dashboards with Streamlit.

  1. Overview and set-up

    Overview and set-up — App structure in Dashboards with Streamlit.

    Lesson

    40 min

  2. Core concepts

    Core concepts — App structure in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — App structure in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — App structure in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  5. Module quiz: App structure

    Check what you learned in App structure before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedWidgetsModule 2 of 4 in Dashboards with Streamlit.

  1. Overview and set-up

    Overview and set-up — Widgets in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Widgets in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Widgets in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Widgets in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  5. Module quiz: Widgets

    Check what you learned in Widgets before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedChartsModule 3 of 4 in Dashboards with Streamlit.

  1. Overview and set-up

    Overview and set-up — Charts in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Charts in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Charts in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Charts in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  5. Module quiz: Charts

    Check what you learned in Charts before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedDeploymentModule 4 of 4 in Dashboards with Streamlit.

  1. Overview and set-up

    Overview and set-up — Deployment in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Deployment in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Deployment in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Deployment in Dashboards with Streamlit.

    Lesson · Locked

    40 min

  5. Module quiz: Deployment

    Check what you learned in Deployment before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Dashboards with Streamlit

    Apply everything from Dashboards with Streamlit in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Dashboards with Streamlit 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
Mariam K., Software & cloud

Your instructor

Mariam K.

Software & cloud

Helps new developers build reliable products through clear explanations and guided practice.

Diana Nsiiza, Yiga learner

“I use what I learned in my work now, not in some distant future project.”

Diana Nsiiza

Data analyst, Entebbe

Continue with

Your next best step.

Following the order of Data Analyst with Python.

See the full chain

Next lesson

Overview and set-up

Dashboards with Streamlit

40 min · Resume

Course 15 in the track

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Portfolio, CV & LinkedIn, Interview questions, and more.

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Course 16 in the track

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Chart types, Styling, Multi-plot, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Course 17 in the track

Exploratory Data Analysis

Distributions, Correlations, Segmentation, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

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