Beginner → Advanced · 14 Weeks
Build Practical Data Science & ML Skills
Learn analysis, modeling, and project storytelling with mentorship from practitioners.
✔ Live Online
✔ 4 ML Projects
✔ Certificate Included
✔ Career Support
Course Overview
This track balances fundamentals and applied machine learning for career readiness.
You will work with real datasets, build models, and learn how to communicate results clearly.
Portfolio projects help you demonstrate applied skills to employers.
Curriculum
- Python for data analysis
- Statistics and exploratory analysis
- Feature engineering and classical ML
- Model evaluation and improvement
- SQL + visualization for storytelling
- Capstone: End-to-end ML project
Learning Outcomes
- Analyze datasets and build ML models
- Communicate insights with clarity
- Create portfolio-ready ML projects
- Prepare for junior data/ML roles
Tools & Technologies
Projects You'll Build
✔ Predictive Analytics Project
✔ Customer Segmentation Model
✔ Classification Capstone
✔ Insight Dashboard Story
Career Opportunities
Data Analyst
Junior ML Engineer
Business Intelligence Analyst
Certificate of Completion
Receive a professional certificate after successfully completing the course requirements, projects, and assessments.
Data Science & Machine Learning FAQs
Do I need prior coding knowledge?
No deep background is required, but consistency with Python practice is important.
Will I work on real projects?
Yes. Assignments and capstones use practical datasets and business-style problem framing.
Will I receive a certificate?
Yes upon completion.
How much time should I dedicate every week?
Expect around 10–12 hours weekly including live sessions and practice.
Ready to Join Data Science & Machine Learning?
Join the waitlist or talk to an advisor to get the curriculum brochure and cohort details.