Course Overview

Our comprehensive Data Science course is designed to transform you into a skilled Data Scientist capable of solving complex business problems using data-driven insights. This program covers everything from Python programming fundamentals to advanced Machine Learning and Deep Learning techniques.

Learn from industry experts who have worked at top companies like Microsoft, Razorpay, and Bidgely. Get hands-on experience with real-world projects and build a portfolio that showcases your skills to potential employers.

Program Fee: ₹50,000 ₹45,000

6+
Months
15+
Projects
100+
Hours
24/7
Support

Curriculum

Module 1: Python Programming Fundamentals

  • Introduction to Python and its ecosystem
  • Data types, variables, and operators
  • Control structures (if-else, loops)
  • Functions and modules
  • Object-Oriented Programming (OOP)
  • File handling and exception handling
  • Project: Building a Python application

Module 2: Data Manipulation & Analysis

  • NumPy for numerical computing
  • Pandas for data manipulation
  • Data cleaning and preprocessing
  • Handling missing data
  • Data transformation and feature engineering
  • Working with different data formats (CSV, JSON, Excel)
  • Project: Exploratory Data Analysis (EDA)

Module 3: Data Visualization

  • Matplotlib for basic plotting
  • Seaborn for statistical visualization
  • Plotly for interactive visualizations
  • Creating dashboards
  • Best practices in data visualization
  • Project: Building interactive dashboards

Module 4: Statistics & Probability

  • Descriptive statistics
  • Probability distributions
  • Hypothesis testing
  • Confidence intervals
  • A/B testing
  • Statistical inference
  • Project: Statistical analysis case study

Module 5: Machine Learning Fundamentals

  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • Model evaluation metrics
  • Cross-validation techniques
  • Project: Building ML models from scratch

Module 6: Advanced Machine Learning

  • Ensemble methods (Bagging, Boosting)
  • Gradient Boosting (XGBoost, LightGBM)
  • Clustering algorithms (K-Means, Hierarchical)
  • Dimensionality reduction (PCA, t-SNE)
  • Hyperparameter tuning
  • Model deployment basics
  • Project: End-to-end ML pipeline

Module 7: Deep Learning

  • Introduction to Neural Networks
  • TensorFlow and Keras
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN, LSTM)
  • Transfer Learning
  • Natural Language Processing (NLP) basics
  • Computer Vision applications
  • Project: Image classification and NLP project

Module 8: Big Data & Cloud Platforms

  • Introduction to Big Data
  • Apache Spark basics
  • Working with cloud platforms (AWS, Azure, GCP)
  • Data pipelines and ETL processes
  • Containerization with Docker
  • Project: Deploying ML models on cloud

Module 9: Real-World Projects & Portfolio Building

  • Customer churn prediction
  • Sales forecasting
  • Image recognition system
  • Sentiment analysis
  • Recommendation system
  • Fraud detection system
  • Portfolio presentation and GitHub setup

Module 10: Career Development

  • Resume building for Data Science roles
  • LinkedIn optimization
  • Interview preparation
  • Technical interview practice
  • Salary negotiation
  • Job search strategies
  • Networking and industry connections

Course Features

🎯 Industry-Relevant Curriculum

Designed by industry experts with real-world applications

👨‍🏫 Expert Instructors

Learn from professionals with 8+ years of experience at top companies

💼 Hands-On Projects

Work on 15+ real-world projects to build your portfolio

🤝 1-on-1 Mentorship

Get personalized guidance from industry mentors

📜 Industry Certification

Receive a certificate recognized by top companies

🚀 Placement Support

Comprehensive placement assistance and job referrals

📚 Lifetime Access

Access course materials and recordings forever

🌐 Flexible Learning

Choose from online, offline, or hybrid modes

Success Stories from Data Science Students

Real transformations from our Data Science program

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