Professional certificate

Yiga Certified Data Analyst (Python)

Earned after completing the data analyst track. Timed SQL and Python exam plus a case study.

Yiga AI

Intermediate en

Intermediate · Professional Certificate · 3–4 months at 10 hrs/week

Duration: 3–4 months
Effort: 10 hrs/week
Courses: 10
Hands-on exercises: 189
Projects: 10
Certificate: Included

Your pace≈ 3–4 months · 159 hours total

Certificate path

Choose this certificate.

Pick the pace you can keep. We enrol you in course 1 of 10 path — Data Analysis with Pandas and track your progress from there.

Hours per week

Estimated: 16 weeks
Total study: 159 hours
Finish around: January 2027

Free to start · 16 weeks at 10 hrs/week

What you'll learn

10 courses in this track

Start this track

About this track

What you’ll learn.

Timed practical exam

Project or portfolio review

Verification code employers can check

Valid for two years

Skills you’ll gain

DataProgramming

How this compares

Comparable to DataCamp Certifications · Coursera Professional Certificates. This track is 159 hours of study — about 3–4 months at 10 hrs/week.

Career outcomes

Turn learning into forward motion.

Build job-ready evidence for roles that use these skills every day.

Data Analyst

Business Analyst

Curriculum

A clear path, course by course.

Complete the courses in order so each new skill builds on the last.

1
Course 1 of 10
Data Analysis with Pandas
Clean, explore and visualise real African datasets to answer practical questions.
Intermediate · Course · 4 weeks at 5 hrs/week
20 hours · 25 lessons · 25 exercises · 4 quizzes · 1 project
View course
2
Course 2 of 10
Python for Beginners
Write your first programs, work with data, and build a small command-line project.
Beginner · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
View course
3
Course 3 of 10
Data Visualisation for Decisions
Turn African business and public datasets into honest, useful visual stories.
Intermediate · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
View course
4
Course 4 of 10
Analyst Career Prep
Portfolio, CV & LinkedIn, Interview questions, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
5
Course 5 of 10
Dashboards with Streamlit
App structure, Widgets, Charts, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
6
Course 6 of 10
Data Cleaning in Python
Missing values, Duplicates, Types & dates, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
7
Course 7 of 10
Data Manipulation with pandas
DataFrames, Filtering & sorting, Aggregation, and more.
Beginner · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
View course
8
Course 8 of 10
Data Visualisation with Matplotlib & Seaborn
Chart types, Styling, Multi-plot, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
9
Course 9 of 10
Exploratory Data Analysis
Distributions, Correlations, Segmentation, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
10
Course 10 of 10
Hypothesis Testing in Python
t-tests, Chi-square, A/B testing, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course

Applied learning project

Finish with work you can show.

Bring the track together in Hypothesis Testing in Python. Apply what you have learned to a practical challenge and explain the decisions behind your solution.

Timed practical exam
Project or portfolio review
Verification code employers can check

Learn from experts

Mariam K.

Software & cloud

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

“I use what I learned in my work now, not in some distant future project.”
Diana Nsiiza
Data analyst, Entebbe

Frequently asked questions

Before you begin.

Do I need prior experience?

This track is designed for intermediate learners. Start with the first course and follow the numbered path so each skill builds naturally.

How long will the track take?

The track contains 10 courses and about 159 hours of learning. Most learners finish in around 3–4 months at 10 hrs/week.

Can I learn on my phone?

Yes. Yiga lessons are designed to work across phones and computers, so you can keep learning on the device available to you.

Will I earn a credential?

You can earn a shareable Yiga credential after completing the required learning and assessment activities in the track.

Is financial support available?

Scholarship and financial-aid options are available for eligible learners. Contact the Yiga support team before enrolling for guidance.

Ready when you are

Start this track today.

Begin with course 1 of 10, Data Analysis with Pandas, and work through the path at your own pace.

Start this track View first course

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