Yiga AI

Course 15 of 17

Analyst Career Prep

Portfolio, CV & LinkedIn, Interview questions, 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 hoursPortfolioModule 1 of 4 in Analyst Career Prep.

  1. Overview and set-up

    Overview and set-up — Portfolio in Analyst Career Prep.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Portfolio in Analyst Career Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Portfolio in Analyst Career Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Portfolio in Analyst Career Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Portfolio

    Check what you learned in Portfolio before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedCV & LinkedInModule 2 of 4 in Analyst Career Prep.

  1. Overview and set-up

    Overview and set-up — CV & LinkedIn in Analyst Career Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — CV & LinkedIn in Analyst Career Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — CV & LinkedIn in Analyst Career Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — CV & LinkedIn in Analyst Career Prep.

    Lesson · Locked

    40 min

  5. Module quiz: CV & LinkedIn

    Check what you learned in CV & LinkedIn before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedInterview questionsModule 3 of 4 in Analyst Career Prep.

  1. Overview and set-up

    Overview and set-up — Interview questions in Analyst Career Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Interview questions in Analyst Career Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Interview questions in Analyst Career Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Interview questions in Analyst Career Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Interview questions

    Check what you learned in Interview questions before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedTake-home testsModule 4 of 4 in Analyst Career Prep.

  1. Overview and set-up

    Overview and set-up — Take-home tests in Analyst Career Prep.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Take-home tests in Analyst Career Prep.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Take-home tests in Analyst Career Prep.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Take-home tests in Analyst Career Prep.

    Lesson · Locked

    40 min

  5. Module quiz: Take-home tests

    Check what you learned in Take-home tests before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Analyst Career Prep

    Apply everything from Analyst Career Prep in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Analyst Career Prep 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
Grace A., AI for professions

Your instructor

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

Samuel Mwangi, Yiga learner

“The examples felt relevant to public service and worked on the connection I actually have.”

Samuel Mwangi

Public service officer, Nairobi

Continue with

Your next best step.

Following the order of Data Analyst with Python.

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Next lesson

Overview and set-up

Analyst Career Prep

40 min · Resume

Course 16 in the track

Data Visualisation with Matplotlib & Seaborn

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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