Yiga AI

Course 6 of 17

Introduction to Statistics

Descriptive stats, Probability, Sampling, 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.

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 hoursDescriptive statsModule 1 of 4 in Introduction to Statistics.

  1. Overview and set-up

    Overview and set-up — Descriptive stats in Introduction to Statistics.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Descriptive stats in Introduction to Statistics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Descriptive stats in Introduction to Statistics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Descriptive stats in Introduction to Statistics.

    Lesson · Locked

    40 min

  5. Module quiz: Descriptive stats

    Check what you learned in Descriptive stats before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedProbabilityModule 2 of 4 in Introduction to Statistics.

  1. Overview and set-up

    Overview and set-up — Probability in Introduction to Statistics.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Probability in Introduction to Statistics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Probability in Introduction to Statistics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Probability in Introduction to Statistics.

    Lesson · Locked

    40 min

  5. Module quiz: Probability

    Check what you learned in Probability before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedSamplingModule 3 of 4 in Introduction to Statistics.

  1. Overview and set-up

    Overview and set-up — Sampling in Introduction to Statistics.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Sampling in Introduction to Statistics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Sampling in Introduction to Statistics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Sampling in Introduction to Statistics.

    Lesson · Locked

    40 min

  5. Module quiz: Sampling

    Check what you learned in Sampling before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedConfidence intervalsModule 4 of 4 in Introduction to Statistics.

  1. Overview and set-up

    Overview and set-up — Confidence intervals in Introduction to Statistics.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Confidence intervals in Introduction to Statistics.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Confidence intervals in Introduction to Statistics.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Confidence intervals in Introduction to Statistics.

    Lesson · Locked

    40 min

  5. Module quiz: Confidence intervals

    Check what you learned in Confidence intervals before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Introduction to Statistics

    Apply everything from Introduction to Statistics in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Introduction to Statistics 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.

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Next lesson

Overview and set-up

Introduction to Statistics

40 min · Resume

Course 7 in the track

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Intermediate · Course · 4 weeks at 5 hrs/week

Course 8 in the track

Working with APIs & Web Data

Requests, JSON, Pagination, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

Course 9 in the track

Data Manipulation with pandas

DataFrames, Filtering & sorting, Aggregation, and more.

Beginner · Course · 4 weeks at 5 hrs/week

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