Course 1 of 10
Data Scientist Interview PrepCase studies, Coding rounds, Stats questions, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 17 lessons · 17 exercises · 4 quizzes · 1 project
Professional certificate
Yiga Certified Data Scientist
Earned after completing the data scientist track. Modelling exam plus project defence.
Yiga AI
Advanced en
Advanced · Professional Certificate · 3–4 months at 10 hrs/week
- Duration
- 3–4 months
- Effort
- 10 hrs/week
- Courses
- 10
- Hands-on exercises
- 185
- Projects
- 10
- Certificate
- Included
Your pace≈ 3–4 months · 156 hours total
Certificate path
Choose this certificate.
Pick the pace you can keep. We enrol you in course 1 of 10 path — Data Scientist Interview Prep and track your progress from there.
Hours per week
- Estimated
- 16 weeks
- Total study
- 156 hours
- Finish around
- January 2027
Free to start · 16 weeks at 10 hrs/week
What you'll learn
10 courses in this track
- 01Data Scientist Interview PrepIntermediate · 14.1 hours · 17 lessonsCase studies · Coding rounds · Stats questions · +1 more
- 02Deploying Models with FastAPIIntermediate · 14 hours · 16 lessonsREST APIs · Serialisation · Docker · +1 more
- 03Experiment Design & A/B TestingIntermediate · 14 hours · 16 lessonsDesign · Power · Analysis · +1 more
- 04Feature EngineeringIntermediate · 14 hours · 16 lessonsEncoding · Scaling · Selection · +1 more
- 05Introduction to Deep LearningIntermediate · 16.7 hours · 20 lessonsNeural networks · Keras · Training · +1 more
- 06Machine Learning ExplainabilityIntermediate · 14 hours · 16 lessonsSHAP · Feature importance · Fairness · +1 more
- 07Model Evaluation & TuningIntermediate · 14 hours · 16 lessonsCross-validation · Grid search · ROC/AUC · +1 more
- 08Natural Language ProcessingIntermediate · 16.7 hours · 20 lessonsTokenisation · TF-IDF · Sentiment · +1 more
- 09Project: Crop Disease Detection from ImagesAdvanced · 19.3 hours · 24 lessonsData collection · CNN · Evaluation · +1 more
- 10Project: Loan Default Prediction (Fintech)Advanced · 19.3 hours · 24 lessonsBusiness framing · Modelling · Fairness check · +1 more
About this track
What you’ll learn.
1
Timed practical exam
2
Project or portfolio review
3
Verification code employers can check
4
Valid for two years
Skills you’ll gain
Data
How this compares
Comparable to DataCamp Certifications · Coursera Professional Certificates. This track is 156 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 Scientist
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 10
Deploying Models with FastAPIREST APIs, Serialisation, Docker, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 3View course
Course 3 of 10
Experiment Design & A/B TestingDesign, Power, Analysis, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 4View course
Course 4 of 10
Feature EngineeringEncoding, Scaling, Selection, 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 10
Introduction to Deep LearningNeural networks, Keras, Training, and more.
Intermediate · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 6View course
Course 6 of 10
Machine Learning ExplainabilitySHAP, Feature importance, Fairness, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 7View course
Course 7 of 10
Model Evaluation & TuningCross-validation, Grid search, ROC/AUC, and more.
Intermediate · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 8View course
Course 8 of 10
Natural Language ProcessingTokenisation, TF-IDF, Sentiment, and more.
Intermediate · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 9View course
Course 9 of 10
Project: Crop Disease Detection from ImagesData collection, CNN, Evaluation, and more.
Advanced · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
- 10View course
Course 10 of 10
Project: Loan Default Prediction (Fintech)Business framing, Modelling, Fairness check, and more.
Advanced · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
Applied learning project
Finish with work you can show.
Bring the track together in Project: Loan Default Prediction (Fintech). 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
Joel N.
Career readiness
Connects technical learning to portfolios, interviews and confident career moves.
“The track removed the uncertainty. I knew what to learn next and what to show employers.”
Frequently asked questions
Before you begin.
Do I need prior experience?
This track is designed for advanced 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 156 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 Scientist Interview Prep, and work through the path at your own pace.
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