About This Program
PROGRAM OVERVIEW
Data Science is the practice of extracting actionable insights from large datasets using scientific methods, algorithms, and systems. It encompasses Data Engineering, Machine Learning, Predictive Analytics, and Data Visualization.
Labeled as the "sexiest job of the 21st century," it provides exceptional reliability and growth potential across all industries. This track includes comprehensive training in Python, Pandas, statistics, building ML models, and deploying end-to-end data pipelines.
Skills & Outcomes
WHAT YOU'LL LEARN
Python & Pandas
Master the exact tools, libraries, and workflows used by top-tier data science teams at global companies.
Statistical Analysis
Build 10+ real-world statistical models and analyses that will make your portfolio stand out to recruiters.
Machine Learning Models
Develop and evaluate classification, regression, and clustering models using Scikit-learn and real datasets.
Data Visualization
Build compelling visuals with Matplotlib, Seaborn, and Plotly — and ace your technical interviews with mock sessions.
Data Pipelines & Engineering
Design and automate ETL pipelines to collect, clean, and transform raw data into production-ready datasets.
Model Deployment
Deploy ML models as APIs using Flask and FastAPI so businesses can integrate predictions into live applications.
Course Structure
CURRICULUM
01.
Fundamentals & Foundations
Introduction to Data Science & the Data Lifecycle
Python Programming for Data Science
NumPy & Pandas for Data Manipulation
Descriptive Statistics & Probability
Data Cleaning, Wrangling & Preprocessing
02.
Core Concepts & Machine Learning
SQL for Data Science
Data Visualization (Matplotlib, Seaborn, Plotly)
Supervised Learning (Regression & Classification)
Unsupervised Learning (Clustering, Dimensionality Reduction)
Model Evaluation & Hyperparameter Tuning
03.
Advanced Topics & Deployment
Feature Engineering & Advanced ML Techniques
Time Series Analysis & Forecasting
Natural Language Processing (NLP) Basics
ML Model Deployment with Flask & FastAPI
Data Pipelines & ETL Automation
04.
Capstone Project & Placement Prep
End-to-End Data Science Project (Real Dataset)
ML Model Deployment to Production
Mock Interview Sessions
Resume & LinkedIn Optimization
Placement Drive & Referrals
ENROLLMENT OPEN
Limited seats left for the upcoming batch.
Starts On
June 15, 2026
Format
Live Online
Duration
12 Weeks
Batch Size
30 Students Max
Language
English
Level
Beginner to Pro
Applications close in 5 days. No upfront payment required.
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