Full Stack Data Science Program

Master Data Science from Python to deployment. Build real-world projects, gain hands-on experience, and become a full-stack Data Scientist.

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Program Overview

This program equips you with the skills to handle all aspects of Data Science projects — from data collection and analysis to model deployment and visualization.

What You Will Learn

  • Python & R for Data Analysis
  • Statistics & Probability for Data Science
  • Machine Learning & Deep Learning
  • Big Data Technologies: Hadoop, Spark
  • Data Visualization & BI Tools
  • Full-stack Deployment of ML Models

Program Highlights

  • Hands-on projects & real-world datasets
  • 1:1 Mentoring & Career Guidance
  • Resume Building & Mock Interviews
  • Capstone Project & Portfolio
  • Placement Assistance & Industry Connections
  • Certification upon Completion

Program Syllabus

Week 1-2

Python, Data Types, Control Structures, Data Handling

Week 3-4

Statistics, Probability & Exploratory Data Analysis

Week 5-6

Machine Learning: Regression, Classification, Clustering

Week 7

Deep Learning: Neural Networks, CNN, RNN, TensorFlow/PyTorch

Week 8

Big Data: Hadoop, Spark & Data Pipelines

Week 9

Data Visualization & Dashboarding (Power BI, Tableau)

Week 10

Model Deployment: Flask/Django & Cloud Hosting

Week 11

Capstone Project: End-to-End Data Science Solution

Week 12

Interview Preparation & Portfolio Review

Key Projects You'll Build

Predictive Analytics Project

Build a machine learning model to forecast sales and trends using real-world datasets.

Deep Learning Image Classifier

Create an image classification model using CNNs and deploy it on the cloud.

Big Data Processing Pipeline

Work with Hadoop and Spark to handle massive datasets efficiently.

Ready to Launch Your Data Science Career?

Apply now and join our Full Stack Data Science Program. Gain hands-on skills, build real-world projects, and kickstart your career as a Data Scientist.

🚀 Apply Now