Data Science Course
Complete Data Science, ML & AI Program
Comprehensive Data Science program covering Python, Machine Learning, AI, Deep Learning, SQL, Tableau, and AWS Data Pipeline. Master end-to-end data science workflow with real-world projects.
Course Curriculum
Module 1: Data Science with Python
- Python Programming Fundamentals
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Statistics for Data Science
Module 2: SQL and Database Management
- SQL Fundamentals
- Advanced SQL Queries
- Database Design and Normalization
- Working with PostgreSQL/MySQL
- Data Warehousing Concepts
Module 3: Data Visualization with Tableau
- Tableau Desktop Fundamentals
- Creating Interactive Dashboards
- Advanced Visualizations
- Tableau Calculations and Parameters
- Publishing and Sharing Dashboards
- Business Intelligence Reporting
Module 4: Machine Learning and Algorithms
- Introduction to Machine Learning
- Supervised Learning (Linear Regression, Logistic Regression)
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- Unsupervised Learning (K-Means, Hierarchical Clustering)
- Dimensionality Reduction (PCA, t-SNE)
- Model Evaluation and Hyperparameter Tuning
- Ensemble Methods (Boosting, Bagging)
Module 5: Artificial Intelligence Introduction
- AI Fundamentals and Applications
- Prompt Engineering with ChatGPT
- Working with Large Language Models (LLMs)
- AI Agents and Automation
- LangChain and Agent Orchestration
- Building AI-Powered Applications
- Ethics and Responsible AI
Module 6: Deep Learning
- Neural Networks Fundamentals
- Activation Functions and Backpropagation
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN & LSTM)
- Transfer Learning and Pre-trained Models
- TensorFlow and Keras
- PyTorch Basics
- Computer Vision Applications
- Natural Language Processing (NLP) with Deep Learning
Module 7: AWS Data Pipeline & Big Data
- Introduction to Cloud Computing (AWS)
- AWS S3 for Data Storage
- AWS Glue for ETL Operations
- PySpark Fundamentals
- Data Processing with PySpark
- AWS Lambda and Automation
- Data Pipeline Architecture
- Data Lake vs Data Warehouse
Module 8: Capstone Project - AWS Data Pipeline
- End-to-End Data Pipeline Design
- Data Ingestion from Multiple Sources
- ETL Processing using AWS Glue
- Data Transformation with PySpark
- Machine Learning Model Integration
- Dashboard Creation with Tableau
- Deployment and Monitoring
- Project Presentation and Documentation
Tools & Technologies You'll Learn
Career Opportunities
Why Choose This Course?
Industry-focused curriculum designed to make you job-ready with practical experience.
Practical Learning
Learn by building real-world projects and applications.
Expert Mentorship
Get guidance from industry professionals with years of experience.
Job Assistance
Dedicated placement support to help you land your dream job.
Industry Recognition
Get certified credentials recognized by top companies.
Related Courses
Explore other courses that complement your learning journey.
Ready to Start Learning?
Take the first step towards your programming career. Enroll now and get expert guidance.
Enquire Now Back to Courses