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Packapeer Academy Pvt Ltd

Students who built careers in MERN...
Python Python
Pandas Pandas
PostgreSQL PostgreSQL
TensorFlow TensorFlow
2378+ Students placed ₹44K/month Avg Salary

Build Your Career in Data Science & Analytics

Master statistics, Python, machine learning, and real-world data projects to become a job-ready Data Scientist or ML Engineer.

Limited seats available!

Course highlights

Live Projects With Real-World Datasets
Offline & Online
Beginner to Advanced level coverage
For students and working professionals
100% Placement Assistance

Become an Industry-Ready Data Science Developer

A comprehensive 12-month practical program designed to take you from coding fundamentals to building scalable production applications. Master Data Science, database architecture, REST APIs, and modern engineering workflows.

Program Duration 12 Months(2 Semesters)
Time Commitment Monday to Friday
Learning Mode Offline or Online
Eligibility Minimum +2

Who Is This Program For?

Engineered for diverse career trajectories — from first-time coders to working professionals aiming for tier-1 tech switches.

Freshers & Non-IT Graduates

Zero coding background required. Learn core logic, problem solving, and modern full-stack development through real hands-on building.

Career Switchers

Transition from support, testing, or non-technical domains into high-growth software engineering roles with a standout portfolio.

College Students & Dropouts

Replace outdated academic theory with real enterprise workflows, daily code reviews, and industry-grade architectural practices.

Working Upskillers

Elevate your engineering career by mastering Microservices, High-Level System Design, and production Agentic AI & RAG systems.

Roles You Will Qualify For:
Data Science Specialist Full-Stack Engineer Backend & System Developer API & Microservices Architect AI Systems Engineer

What You Will Learn

On successful completion, learners gain industry-ready skills in Data Science, AI, Big Data, and Cloud, equivalent to 2–3 years of hands-on experience.

Paper #1
Foundations

Foundations

Core Technical Foundations

  • * Foundation Module
  • * Python Programming
  • * Python Libraries for DS
  • * Mathematics, Statistics & Probability
  • * Mathematical Foundations for Data Science - Linear Algebra & Calculus Essentials
Paper #2
Core Engineering

Data Engineering & Analytics

Frameworks & Implementation

  • * Database & SQL
  • * Advanced SQL & Data Modeling
  • * Data Wrangling & Preparation + EDA
  • * Power BI for Data Analytics
Paper #3
Production Capstone

Machine Learning

Multi-Sprint Flagship Project

  • * ntroduction to Machine Learning + Supervised starting
  • * Supervised Learning
  • * Unsupervised Learning + Model Evaluation & Feature Engineering
  • * Cloud Computing for Data Science 1
  • * Cloud Computing for Data Science 2
Paper #4
2026 AI Innovation

Deep Learning & AI

Agentic AI & Advanced Systems

  • * ntroduction to Deep Learning + Framework(tensorflow or pytorch)
  • * Computer Vision & CNN
  • * Advanced Deep Learning
  • * Time Series Analysis
Paper #5
2026 AI Innovation

NLP & Generative AI

Agentic AI & Advanced Systems

  • * NLP Foundations + Advanced NLP:
  • * Transformers
  • * Generative AI, LLMs
  • * Agentic AI/ Rag
Paper #6
Paper 6

Data Science Engineering

Advanced Engineering

  • * Big Data & Apache Spark
  • * Advanced Big Data
Paper #7
Enterprise Capstone

MLOps & Production Systems

Advanced Production Engineering

  • * ML API Design & Development
  • * MLOps Fundamentals + CI/CD & Capstone Project Planning
Paper #8
Career Launch

Placement Training

1:1 Mocks & Interview Readiness

  • * Placement Training & Capstone Project
  • * Placement Training & Capstone Project

Learning Through Real-World Projects

You don't just write toy scripts. You design, architect, code, and deploy production-grade enterprise systems to live cloud infrastructure, evaluated directly by senior industry leads.

Portfolio Capstone
2

2 Main Projects

1 Individual Project • 1 Team-Based Project

Architect and deploy two enterprise-grade production applications to live cloud infrastructure, evaluated directly by senior industry leads.

Key Highlights:
  • 1 Individual Flagship Project: Full-stack architecture, DB design & authentication
  • 1 Team-Based System: Real agile sprints, Git workflows & peer code reviews
  • Live Cloud Deployment: Production hosting with CI/CD & environment secrets
  • Industry Evaluation: Evaluated 1-on-1 by senior tech leads & architects
Continuous Practice
10+

10+ Mini Projects

Continuous Hands-On Practice

Reinforce your coding foundation and build speed through weekly practical tasks, algorithmic drills, and focused feature implementations.

Key Highlights:
  • Weekly Practical Drills: Rapid coding challenges covering every module
  • API & State Mastery: Hands-on REST APIs, data parsing & DOM manipulation
  • Defensive Engineering: Form validation, error handling & clean code patterns
  • Continuous Feedback: Immediate mentor reviews to fix gaps early

What Makes This Program Different

Beyond core Flutter stack training, the program includes advanced, industry-relevant topics:

Recorded courses
Other live courses
Brototype Program
End-to-End Career & Placement Support
One-on-One Technical Mentorship
Weekly Expert Skill Assessments
Lifetime alumni community access
Real-world projects reviewed by experts
Workplace & Interview Skills
Industry-ready, updated curriculum

Career-Focused Learning Benefits

The proven methodology engineered to transform raw ambition into industry-ready software engineering mastery.

BRO Learning Method

Brototype Research and Outcome Oriented Learning Method with zero rote learning.

Communication & Soft-Skills

Daily 1-hour active communication sessions to build global workplace fluency.

Weekly Module Exams

Strict module evaluations conducted directly by working industry tech leads.

1:1 Technical Mentorship

Immediate doubt resolution, daily pair programming, and architectural code reviews.

Alumni & Community

Access to a strong alumni network of 2,200+ professionals across multiple domains, with monthly alumni interaction sessions.

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Dedicated Career Support

Career support is deeply integrated to help learners transition into MERN stack development roles.

2,378+ Students Placed
500+ Hiring Partners
₹44k/mo Average Starting Salary
₹35 LPA Highest Package

4-Phase Career Acceleration Roadmap

Structured, step-by-step preparation ensuring you clear technical coding rounds, architectural interviews, and behavioral appraisals.

Phase 01

Profile & Portfolio Hardening

Stand out in top recruiter searches

  • ATS-Optimized Tech Resume crafted by placement experts
  • GitHub profile overhaul with clean Git commits and documentation
  • LinkedIn personal branding and recruiter outreach optimization
Phase 02

Technical Interview Simulators

Build unshakeable interview confidence

  • 1-on-1 Mock Interviews conducted by senior industry engineers
  • Live Machine Coding challenges under realistic time pressure
  • High-Level System Design defense and code walk-through sessions
Phase 03

The Brototype Hirathon

Direct placement drives with hiring partners

  • Exclusive 48-Hour Hiring Hackathons reviewed by hiring managers
  • Dedicated 1-to-1 Placement Officer assigned to your pipeline
  • Priority access to 500+ tech companies across India & abroad
Phase 04

Executive Mentorship & Support

Long-term career compounding

  • CEO & CTO fireside sessions for industry perspective & leadership
  • Salary negotiation coaching to maximize your offer package
  • 6-Month post-placement support during corporate probation
Top Companies Hiring Brototype Graduates:

What Companies Say About Our Graduates

Hear from companies that have hired Brototype graduates and experienced their skills firsthand.

Curriculum Icon

Explore Our Detailed Curriculum!

Understand the in depth concepts and tools you will learn throughout the program.

Take The First Step

Share your details and our team will guide you through the program and next steps.

Take The First Step

Share your details and our team will guide you through the program and next steps.

Our Students, Their Success Stories

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Frequently Asked Questions (FAQ)

Here are some of the most common questions we get from students. If you don't find what you're looking for, feel free to reach out.

star Do I need prior programming experience to join this course?

No prior programming experience is required. The course starts with Python programming, mathematics, and data fundamentals, and gradually advances to data analysis, machine learning, and real-world data science applications, making it suitable for beginners.

star Is this course beginner-friendly?

Yes. The program follows a structured, step-by-step learning approach, starting from core concepts and progressing to industry-oriented data science and machine learning projects.

star Will I work on real projects during the course?

Yes. Learners will work on hands-on exercises, mini projects, real-world datasets, and an end-to-end capstone project covering data analysis, machine learning, and deployment.

star Will I receive a certificate after completing the course?

Yes. A Data Science course completion certificate will be awarded to learners who successfully complete the program and required projects.

star Can I attend this course while studying or working?

Yes. The course is designed to accommodate students and working professionals, offering flexible learning schedules and support.

star Who can join the Data Science course?

This course is suitable for: Students and fresh graduates, Job seekers aiming for Data Analyst, Data Scientist, or ML Engineer roles, Working professionals planning a career transition into data and AI, Non-IT candidates interested in data-driven and analytical careers

star What modes of learning are available?

The course is available in both Online and Offline modes, allowing learners to choose the format that best fits their schedule and learning preferences.

star Is placement or career support provided?

Yes. Dedicated career support is provided, including: Resume and LinkedIn profile preparation, Portfolio and GitHub project guidance, Mock interviews and technical assessments, Career mentoring and job readiness sessions. <i>Career support is subject to performance and eligibility criteria.</i>

star How long is the Data Science course?

The course duration is typically 12 months, depending on your individual pace and learning curve.

star How can I apply for the course?

You can apply by filling out the Apply Now form on this page. Our team will contact you with further details and next steps.

WhatsApp +91 7594 846 113