Pilot Cohort Open

Data Science and Analytics

Data analysis, statistics, interactive visualization, PostgreSQL, Pandas, and applied machine learning.

8 months 8–12 hours / week Graduates, undergraduates, or professionals in finance, business, or engineering.
Professional competency training. Not a degree-granting programme.

Programme Overview

Transform raw data into executive intelligence and predictive insights. Data analysis, statistics, interactive visualization, PostgreSQL, Pandas, and applied machine learning.

Demonstrated Learning Outcomes

Extract, clean, and transform messy real-world datasets using Python, Pandas, and NumPy.
Write complex analytical SQL queries with window functions, CTEs, and aggregation pipelines.
Build executive dashboards with Tableau, Streamlit, and modern BI frameworks.
Train, validate, and interpret classical machine learning regression and classification models.

Delivery Format & Pedagogy

  • Interactive Jupyter notebooks, live dataset analysis, and dashboard portfolio building.
  • Super AI contextual Socratic tutoring
  • Living Skill Graph competency tracking
  • Isolated sandboxed project execution
Prerequisites & Requirements
  • Basic high school mathematics and spreadsheet familiarity.
Assessment & Mastery Criteria

Continuous milestone evaluation, automated sandboxed unit testing, and rubric assessment scoring.

Build While You Learn

Structured Project Roadmap & What You Will Build

Every project runs in an isolated sandbox with automated unit test assertions and rubric-based mentor reviews.

Phase 01

National Healthcare Analytics Dashboard

Data Science & SQL

Analyzing patient readmission trends and bed occupancy optimization using open health datasets.

Key Deliverables:
  • Live interactive dashboard and statistical insight report.

Complete Curriculum Syllabus

Module 1: Advanced SQL & Data Warehousing

  • Relational Joins
  • Window Functions
  • Partitioning
  • Star Schema & Data Marts

Module 2: Python Data Wrangling & Visualization

  • Pandas
  • NumPy
  • Seaborn & Plotly
  • Exploratory Data Analysis

Module 3: Applied Machine Learning Models

  • Linear & Logistic Regression
  • Decision Trees & Ensembles
  • Cross-Validation & Metric Tuning

Tuition Fees & Payment Plans

Transparent tuition with monthly instalment options. Staged cohort admissions.

Data Science and Analytics

8-Month Programme • Applications Opening Soon

Plan card 1: Instalment Plan

Instalment Plan (Data Science and Analytics)

8-month programme

₹29,999upfront
+ ₹1,500 a month for 8 months
Total ₹41,999 + 18% GST
(GST included: about ₹35,399 upfront and ₹1,770 a month)
Full curriculum access and project evaluations
Offline lesson downloads
Laptop: included with your admission, model and specifications confirmed in writing before you enrol
AI Tutor and Coding Mentor: coming soon
Plan card 2: Full Payment

Full Payment

8-month programme

₹41,999+ 18% GST
One payment of ₹41,999 + 18% GST (about ₹49,559)
No monthly debits
Same programme and inclusions as the Instalment Plan
₹2,000 early-payment discount (Pay ₹39,999 + 18% GST / about ₹47,199)
Laptop: included with your admission, model and specifications confirmed in writing before you enrol
AI Tutor and Coding Mentor: coming soon

What's included and what's not

Complete transparency across curriculum, hardware, and operational boundaries.

Included
  • 8 months of structured, project-based learning
  • Access to course materials and offline downloads
  • Project reviews and a platform-issued completion certificate once criteria are met
  • Access to TalentXcel, CHATR and Nuty Tales
Not included or not guaranteed
  • Jobs, salary levels, exam results or business income
  • Accreditation by a university or government body
  • Any hardware beyond what’s confirmed in your admission agreement

Proposed offer. Fees, laptop specifications and final terms are confirmed before enrolment.