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Data Science & Analytics

Dive deep into data. Collect, clean, and analyze datasets to solve complex problems.

Duration: 3 Months
Mode: Online / Hybrid

What You Will Learn

A comprehensive skill-set tailored for the modern industry requirements.

Wrangle large datasets with Python and SQL

Apply statistical methods to validate data insights

Build and deploy machine learning models

Master Data Storytelling and Visualization

Work with Big Data tools like Spark

Implement production-grade data pipelines

Detailed 3-Month Curriculum

A strictly structured 12-week roadmap designed to take you from foundational concepts to building job-ready systems.

Data Engineering Foundations

Weekly Breakdown of Skills & Topics

  • Functional Python for Data
  • NumPy & Pandas Deep Dive
  • Memory Efficient Coding
  • Virtual Environments

Tools & Technologies Covered

Master the industry-standard tools used by professionals worldwide.

Programming

PythonR BasicsSQL

ML Libraries

Scikit-LearnXGBoostStatsmodels

Big Data

Apache SparkHadoop Basics

Viz & Cloud

TableauAWSBigQueryStreamlit
Final Year Mastery

The Capstone Project

Apply everything you've learned by building a resume-ready, enterprise-standard project.

Predictive Maintenance System

Developing a machine learning system for an industrial client to predict equipment failure before it happens using sensor data.

Skills Demonstrated:

Time Series Analysis
Advanced ML Models
Cloud Deployment
Real-time Monitoring
Impact on Your Career

Showcases ability to handle complex IoT/Time-series data and deliver high industrial value.

Job-Ready Portfolio

We guide you through the complete development lifecycle – from architecture to deployment on the real cloud.

Who This Program Is For

Designed for high-potential individuals ready to fast-track their tech careers.

IT Professionals looking for data roles

STEM graduates

Analysts wanting to move into ML

Research scholars

Certification &
Career Support

Our commitment doesn't end at training. We ensure you are fully prepared to navigate the competitive tech landscape with confidence.

GitHub Portfolio Review
Kaggle competition guidance
Mock Technical Interviews
Placement referrals to Data-driven firms
Professional Recognition

Certification of Completion

Upon successful completion of all modules and the Capstone Project, students receive an industry-recognized certificate validating their skills in modern software engineering.

View Sample Certificate

Frequently Asked Questions

Everything you need to know about the program structure and outcomes.

A foundational understanding of Statists and Calculus is required. We cover the specific math needed during the course.
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