Limited Launch offer at 40% discount
Data Science & Analytics Track

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.

Live mentor support
5 real-world projects
Verified portfolio
Assessment-based certification

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.

Sales Data
Customer Data
Financial Data
Operational Data

Who This Track Is For

  • College students (any stream)
  • Beginners in data field
  • Business & commerce students
  • Working professionals
  • Career switchers
Note: No prior coding required. Python basics are covered inside the track.

Tools & Technologies

Everything you need to master data science

Python
Pandas, NumPy
SQL
MySQL / PostgreSQL
Power BI
Dashboarding
Tableau
Visualization
Excel
Advanced
Jupyter
Notebooks

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

DETAILED SYLLABUS

Curriculum by Program

Choose your learning pace and explore the week-by-week structure.

Data Science - Standard (8 Weeks)

Comprehensive 8-week project-based learning curriculum covering all fundamentals and advanced concepts.

Week 1: Python & Exploratory Data Analysis
  • Learning Materials & Concepts
  • Project Activity: SOLO PROJECT 1 START
Week 2: Statistics & Probability
  • Learning Materials & Concepts
  • Project Activity: SOLO PROJECT 1 DELIVERY
Week 3: Visualization & Storytelling
  • Learning Materials & Concepts
  • Project Activity: SOLO PROJECT 2 START
Week 4: Regression & Classification
  • Learning Materials & Concepts
  • Project Activity: SOLO PROJECT 2 DELIVERY
Week 5: Clustering & Time Series
  • Learning Materials & Concepts
  • Project Activity: PAIR PROJECT START
Week 6: Advanced Analytics
  • Learning Materials & Concepts
  • Project Activity: PAIR PROJECT DELIVERY
Week 7: Big Data & SQL Analytics
  • Learning Materials & Concepts
  • Project Activity: GROUP CAPSTONE START
Week 8: Capstone Analytics & Demo
  • Learning Materials & Concepts
  • Project Activity: GROUP CAPSTONE DELIVERY

Project Roadmap (6 Projects)

From solo builds to team capstones — real-world projects that prove your skills

2 Solo
1 Pair
3 Capstone
Project 1
Solo Project

E-Commerce Price Elasticity Analysis runs

Analyzes transaction data to estimate price elasticity of demand across categories. Identifies optimal price points. Presents findings in an interactive Tableau/PowerBI/Streamlit report.

Analyzes transaction data to estimate price elasticity of demand across categories. Identifies optimal price points. Presents findings in an interactive Tableau/PowerBI/Streamlit report.

💼 Junior Data Analyst. Statistical rigor, business acumen.

Project 2
Solo Project

Sports Analytics Player Performance Dashboard

Pulls data from sports APIs. Calculates advanced metrics (e.g., Expected Goals). Creates shot maps and heatmaps. Simulates match outcomes using Monte Carlo methods.

Pulls data from sports APIs. Calculates advanced metrics (e.g.
Expected Goals). Creates shot maps and heatmaps. Simulates match outcomes using Monte Carlo methods.

💼 Mid-Level DS. Spatial data, API integration.

Project 3
Pair Project

Algorithmic Trading Backtesting Engine

Algorithmic Trading Backtesting Engine

💼 Senior Data Scientist. Time-series architecture, optimization.

Project 4
Capstone

AI-Driven Real Estate Valuation Platform

AVM (Automated Valuation Model) using property specs, geospatial POI data (distance to schools/transit), and macroeconomic indicators. Interactive map UI.

AVM (Automated Valuation Model) using property specs, geospatial POI data (distance to schools/transit), and macroeconomic indicators
Interactive map UI.

💼 Capstone Project

Project 5
Capstone

Retail Assortment & Shelf-Space Optimizer

Uses association rule mining (Market Basket Analysis) and integer linear programming to recommend exactly which products to stock in which stores to maximize margin.

Uses association rule mining (Market Basket Analysis) and integer linear programming to recommend exactly which products to stock in which stores to maximize margin.

💼 Capstone Project

Project 6
Capstone

Climate Risk & ESG Scoring Engine

NLP processing of company 10-K reports combined with geospatial climate risk data (flood/fire APIs) to generate ESG scores for institutional investors.

NLP processing of company 10-K reports combined with geospatial climate risk data (flood/fire APIs) to generate ESG scores for institutional investors.

💼 Capstone Project

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
Mentor Verified

Projects Are Not Self-Assessed

"You cannot certify yourself. A working professional mentor must start, review, and approve your work."

PBL Model

Project-Based Assessment Test (PAT) Format

Assessment is based on how you build, improve, and explain projects — not on a single final exam.

Overall Structure (100 Marks)

40 Marks

1. Project Completion & Quality

Evaluated across best 3 projects. Mentor checks problem understanding, implementation, tools, and code quality.

Functionality: 5
Tool Usage: 3
Output Quality: 3
Docs: 2
20 Marks

2. Milestone Reviews

Points for regular updates (Design, Mid-build, Final) and fixing mentor feedback. Rewards consistency.
15 Marks

3. Business Value

Must allow how the project solves a real problem and who uses it. (e.g., Insights, Risk Reduction, Automation).
15 Marks

4. Tool Proficiency

Live check: Modify project, add a feature, or fix a bug on the spot to prove authenticity.
10 Marks

5. Final Defense

Explain approach, challenges faced, and lessons learned.

Pass Criteria

  • Minimum 60/100 Score
  • All 5 Projects Completed
  • Mentor Verification Done
  • No Plagiarism Found

Plagiarism Check

  • Code similarity check
  • Git commit history audit
  • Oral questioning
  • Random live modification

Certification

You only receive the SkillCred Project-Based Certificate & Recommendation Letter if all criteria are met.

Mentor Rating ≥ 3.5/5 Req

Certification & Portfolio

Upon passing the assessment, you earn a SkillCred Verified Certificate and a portfolio that HRs can search.

Verified Certificate

Official proof of your skills.

HR-Ready Portfolio

Includes verified project links, mentor ratings, and assessment scores.

Career Outcomes

Data Analyst
Business Analyst
BI Analyst
Junior Data Scientist
Reporting Analyst

HR Corner (Preview)
Recruiter View

HR can filter students by:
SQL Skills
Power BI
Project Score > 80%
Mentor Rating 5★
[Portfolio Preview Interface]

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.

Start Your Data Science Journey

Build skills. Build projects. Build proof.