Data Science & AI

Become a Data Scientist & AI Developer in 7 Weeks. Build real projects, master Machine Learning, and work with modern Generative AI tools.

7 Weeks

Duration

Beginner+

Level

Live

Sessions

Enroll Now Free Demo Class
Data Science₹4999/
Batch

7-week live cohort with interactive peer learning and 1-on-1 mentorship.

Course Overview

Everything you will learn and accomplish in a structured 7-week program.

What You'll Learn

  • Python Programming for Data Science
  • NumPy, Pandas & Data Manipulation
  • Data Visualization (Matplotlib & Seaborn)
  • Statistics & Data Preprocessing
  • Machine Learning (Supervised & Unsupervised)
  • Generative AI & Chatbot Development

What You'll Achieve

  • 3 Real-world Projects in Portfolio
  • Data Analysis + Machine Learning Skills
  • AI & Chatbot Development Ability
  • Industry-ready Professional Profile

Why choose this track?

Everything you need to confidently launch a career in Data Science & AI.

Continuous Assignments
Doubt clearing sessions
Mock interviews
3 Real-world projects

Course Curriculum

A structured weekly roadmap — from Python basics to production-ready AI systems.

  • Data Science Lifecycle (Collection → Cleaning → Modeling → Deployment)
  • AI vs ML vs Deep Learning (Real-world examples)
  • Generative AI (ChatGPT & modern tools)
  • Tools Setup (Jupyter Notebook, Google Colab)
  • Variables, Data Types, Type Conversion
  • Conditional Logic (if-else, nested conditions)
  • Loops (for, while, break/continue)
  • Functions (modular & reusable code)
  • NumPy Arrays & Vectorized Operations
  • Indexing & Slicing
  • Pandas DataFrames & Series
  • Data Cleaning (missing values, duplicates)
  • Data Manipulation (filtering, sorting)
  • Aggregation (groupby, pivot tables)
  • Matplotlib (charts & graphs)
  • Seaborn (advanced visualization)
  • Data Storytelling
  • Exploratory Data Analysis (EDA)
  • Correlation Analysis & Outlier Detection
  • 🚀 Project 1: Analyze real-world dataset, extract insights & visualize trends
  • Mean, Median, Mode
  • Variance & Standard Deviation
  • Probability & Distributions
  • Normal Distribution
  • Data Cleaning & Imputation
  • Encoding (Label, One-Hot)
  • Feature Scaling (Normalization, Standardization)
  • ML Concepts (Supervised vs Unsupervised)
  • Linear Regression, Logistic Regression, KNN, Decision Trees
  • Model Evaluation (Accuracy, Precision, Recall)
  • Overfitting (Bias vs Variance)
  • K-Means Clustering & PCA (Dimensionality Reduction)
  • 🚀 Project 2: Build & evaluate a real prediction system
  • LLM Basics (How ChatGPT works)
  • Prompt Engineering (Zero-shot, Few-shot)
  • AI Workflows (Automation, coding help)
  • Chatbot Development (APIs integration)
  • AI Content Generation
  • 🚀 Final Project: AI Chatbot with APIs + Prompt Engineering
  • 🔧 Bonus: Git, GitHub & Portfolio Deployment
Data Science & AI7 Weeks

Starting at ₹4,999

Enroll Now 🚀