Build Real Business Insights
Using Data, Dashboards & SQL
Learn how to clean, analyze, and visualize data using industry tools like Python, SQL, Power BI & Tableau — through mentor-guided real-world projects.
Become a Data Scientist
₹6,999
Program Pricing (Pilot Cohort)
- Includes Live Mentor Support
- Every project mentor-verified before certification
- 100% Online Format
- Portfolio review and interview preparation.
Speak to an Advisor
Not sure if this is the right fit? Drop your details and we'll call you back within 24 hours to discuss your goals.
Why This Track?
This is NOT just coding — this is data-driven thinking. You will check raw data, turn it into insights, building dashboards for decision-making, and solve real business problems.
Who This Track Is For
- College students (any stream)
- Beginners in data field
- Business & commerce students
- Working professionals
- Career switchers
Learning Tools and Methodology
Master an industry-standard technical stack through our hands-on engineering pedagogy and structured practice.
Tools You Will Master
How You Will Learn
Live Mentor Sessions
Project-led guidance
Real Datasets
Work with messy, real data
Weekly Check-ins
Track progress regularly
Video Lessons
Recorded content for revision
Step-by-step
Guided project building
Doubt Support
Clear your queries
Project Roadmap
A rigorous 4-project spine that mirrors actual industry workflows, augmented by targeted add-on mini-projects.
Core 4-Project Spine
Step-by-step development phases mirroring real assessment rounds
Answer three specified questions from a supplied dataset. Every claim must carry an uncertainty statement.
A business question with no stated analysis and a confounder in the data. Identify what can and cannot be concluded. Saying "this data can't answer that" is a passing answer.
One student runs the analysis, the other independently attempts to break it. They present a joint finding with the challenges included, not resolved away.
Student-proposed analysis delivered as both a technical write-up and a ten-minute non-technical briefing. Both are assessed.
2 Targeted Mini-Projects
Hands-on skill builders covering practical tools & concepts
Arrays / Hashing
Frequency / co-occurrence analysis utility over a raw dataset
Heaps
Top-k ranking utility for a recommendation-style analysis task
Your Portfolio Output
Your SkillCred portfolio isn't a static resume. It is a live, verified candidate profile showcasing working architectures, clean code, and assessment scores structured for recruiter review.
Verified PAT Score
Recruiters filter candidates by actual competency scores across system design and code quality.
Architecture & Implementation
Showcase the real-world systems you designed and deployed, not just code snippets.
Target Career Roles
Candidate #SC-7241
PAT ID: pat_8291_active
Predictive Analytics Model
Customer churn predictor using XGBoost and served via Streamlit.
Mentor Support & Frequently Asked Questions
Understand how working professionals review your code every week and get answers to common questions before starting your journey.
Mentor Support & Verification
Our mentors don't just teach — they verify your skills. Every project you build is reviewed, ensuring you meet industry standards before you get certified.
- Assign & explain real-world projects
- Code reviews & architecture feedback
- Verify project functionality & quality
- Conduct Viva & Assessment readiness checks
- Issue formal recommendation letters
Projects Are Not Self-Assessed
"You cannot certify yourself. A working professional mentor must start, review, and approve your work."
Frequently Asked Questions
Is coding mandatory?
No. Python basics are taught from scratch inside this track.
Do I get real datasets?
Yes, all projects use real or simulated industry data.
Is certificate automatic?
No — only after mentor verification + assessment.
Is this an internship?
This is a project-based skill certification program.
Lock in Your Pilot Pricing
Secure your spot today with a fully refundable deposit. Fully credited toward your final enrollment balance.