Course 1 of 17
Python for BeginnersWrite 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
Career track
Data Analyst with Python
14 courses, 90 hours, ending in Analyst Career Prep.
Yiga AI
Beginner → Intermediate en
Beginner → Intermediate · Career Track · 6–7 months at 10 hrs/week
- Duration
- 6–7 months
- Effort
- 10 hrs/week
- Courses
- 17
- Hands-on exercises
- 309
- Projects
- 17
- Certificate
- Included
Your pace≈ 6–7 months · 262 hours total
What you'll learn
17 courses in this track
- 01Python for BeginnersBeginner · 19.3 hours · 24 lessonsYour first program · Making decisions · Loops and lists · +1 more
- 02Data Analysis with PandasIntermediate · 19.5 hours · 25 lessonsMeeting pandas · Cleaning messy data · Grouping and answering questions · +1 more
- 03Data Visualisation for DecisionsIntermediate · 19.3 hours · 24 lessonsChoose the honest chart · Tell the story in the data · Applied practice · +1 more
- 04Data Cleaning in PythonIntermediate · 14 hours · 16 lessonsMissing values · Duplicates · Types & dates · +1 more
- 05Introduction to PythonBeginner · 14 hours · 16 lessonsVariables & types · Lists & dicts · Functions · +1 more
- 06Introduction to StatisticsBeginner · 14 hours · 16 lessonsDescriptive stats · Probability · Sampling · +1 more
- 07Project: Mobile Money Transactions AnalysisIntermediate · 16.7 hours · 20 lessonsClean dataset · Analyse patterns · Visualise · +1 more
- 08Working with APIs & Web DataIntermediate · 14 hours · 16 lessonsRequests · JSON · Pagination · +1 more
- 09Data Manipulation with pandasBeginner · 16.7 hours · 20 lessonsDataFrames · Filtering & sorting · Aggregation · +1 more
- 10SQL for AnalystsBeginner · 16.7 hours · 20 lessonsSELECT & WHERE · Joins · Group by · +1 more
- 11Intermediate PythonIntermediate · 14 hours · 16 lessonsLoops & logic · Error handling · Modules · +1 more
- 12Hypothesis Testing in PythonIntermediate · 14 hours · 16 lessonst-tests · Chi-square · A/B testing · +1 more
- 13Project: Agricultural Yield Analysis (Uganda)Intermediate · 14 hours · 16 lessonsImport data · Seasonal trends · Regional comparison · +1 more
- 14Dashboards with StreamlitIntermediate · 14 hours · 16 lessonsApp structure · Widgets · Charts · +1 more
- 15Analyst Career PrepBeginner · 14 hours · 16 lessonsPortfolio · CV & LinkedIn · Interview questions · +1 more
- 16Data Visualisation with Matplotlib & SeabornBeginner · 14 hours · 16 lessonsChart types · Styling · Multi-plot · +1 more
- 17Exploratory Data AnalysisIntermediate · 14 hours · 16 lessonsDistributions · Correlations · Segmentation · +1 more
About this track
What you’ll learn.
1
Introduction to Python
2
Intermediate Python
3
Data Manipulation with pandas
4
Data Cleaning in Python
Skills you’ll gain
ProgrammingData
How this compares
Comparable to DataCamp Data Analyst with Python · Coursera Google Data Analytics. This track is 262 hours of study — about 6–7 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
Turn raw information into decisions people can act on.
Local salary guide · UGX 2M–6M per month
Teacher
Create stronger lessons, feedback and learning support with AI.
Local salary guide · UGX 1M–3.5M per month
Nurse
Apply digital and AI skills to safer, more efficient care workflows.
Local salary guide · UGX 1.2M–4M per month
Curriculum
A clear path, course by course.
Complete the courses in order so each new skill builds on the last.
- 1View course
- 2View course
Course 2 of 17
Data Analysis with PandasClean, 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
- 3View course
Course 3 of 17
Data Visualisation for DecisionsTurn 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
- 4View course
Course 4 of 17
Data Cleaning in PythonMissing values, Duplicates, Types & dates, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 5View course
Course 5 of 17
Introduction to PythonVariables & types, Lists & dicts, Functions, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 6View course
Course 6 of 17
Introduction to StatisticsDescriptive stats, Probability, Sampling, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 7View course
Course 7 of 17
Project: Mobile Money Transactions AnalysisClean dataset, Analyse patterns, Visualise, and more.
Intermediate · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 8View course
Course 8 of 17
Working with APIs & Web DataRequests, JSON, Pagination, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 9View course
Course 9 of 17
Data Manipulation with pandasDataFrames, Filtering & sorting, Aggregation, and more.
Beginner · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 10View course
Course 10 of 17
SQL for AnalystsSELECT & WHERE, Joins, Group by, and more.
Beginner · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 11View course
Course 11 of 17
Intermediate PythonLoops & logic, Error handling, Modules, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 12View course
Course 12 of 17
Hypothesis Testing in Pythont-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
- 13View course
Course 13 of 17
Project: Agricultural Yield Analysis (Uganda)Import data, Seasonal trends, Regional comparison, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 14View course
Course 14 of 17
Dashboards with StreamlitApp structure, Widgets, Charts, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 15View course
Course 15 of 17
Analyst Career PrepPortfolio, CV & LinkedIn, Interview questions, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 16View course
Course 16 of 17
Data Visualisation with Matplotlib & SeabornChart types, Styling, Multi-plot, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 17View course
Course 17 of 17
Exploratory Data AnalysisDistributions, Correlations, Segmentation, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
Applied learning project
Finish with work you can show.
Bring the track together in Exploratory Data Analysis. Apply what you have learned to a practical challenge and explain the decisions behind your solution.
- Introduction to Python
- Intermediate Python
- Data Manipulation with pandas
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.”
Frequently asked questions
Before you begin.
Do I need prior experience?
This track is designed for beginner → 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 17 courses and about 262 hours of learning. Most learners finish in around 6–7 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 17, Python for Beginners, and work through the path at your own pace.
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