Complete Data Science Curriculum
Complete Data Science Curriculum
Our comprehensive 6-month program covers everything you need to become a job-ready data scientist. From fundamentals to advanced AI, every module is designed by industry experts.
Build strong fundamentals in data science, statistics, and programming essentials.
Module 1: Data Science Fundamentals
Week 1: Introduction to Data Science & Career Paths
Week 2: Data Types, Sources & Collection Methods
Week 3: Data Science Workflow & Project Lifecycle
Week 4: Industry Applications & Case Studies
Module 2: Statistics & Mathematics
Week 1: Descriptive Statistics & Data Distribution
Week 2: Probability Theory & Hypothesis Testing
Week 3: Linear Algebra for Data Science
Week 4: Statistical Inference & Correlation Analysis
Module 3: Excel Mastery for Data Analysis
Week 1: Advanced Excel Functions & Formulas
Week 2: Pivot Tables & Data Summarization
Week 3: Data Visualization in Excel
Week 4: Excel Automation with Macros & VBA
Foundation Projects
Sales Data Analysis Dashboard
Statistical Analysis Report
Excel Automation Project
Build strong fundamentals in data science, statistics, and programming essentials.
Module 4: SQL Database Mastery
Week 1: SQL Fundamentals & Database Design
Week 2: Advanced Queries & Joins
Week 3: Window Functions & CTEs
Week 4: Performance Optimization & Indexing
Module 5: Power BI & Data Visualization
Week 1: Power BI Fundamentals & Data Modeling
Week 2: DAX Functions & Calculated Measures
Week 3: Interactive Dashboards & Reports
Week 4: Advanced Visualizations & Storytelling
Module 6: Data Cleaning & Preparation
Week 1: Data Quality Assessment & Profiling
Week 2: Handling Missing Data & Outliers
Week 3: Data Transformation & Feature Engineering
Week 4: ETL Processes & Data Pipelines
Core Skills Projects
E-commerce Analytics Dashboard
SQL Database Design Project
Interactive Power BI Report
Data Cleaning Automation
Dive into machine learning, AI tools, and advanced analytics to become industry-ready.
Module 7: Machine Learning Fundamentals
Week 1: ML Algorithms & Model Selection
Week 2: Supervised Learning (Regression & Classification)
Week 3: Unsupervised Learning & Clustering
Week 4: Model Evaluation & Hyperparameter Tuning
Module 8: Generative AI & Modern Tools
Week 1: ChatGPT & AI Prompt Engineering
Week 2: AI-Powered Data Analysis Tools
Week 3: Automated Report Generation
Week 4: AI Ethics & Responsible AI Practice
Module 9: Career Preparation & Industry Readiness
Week 1: Portfolio Development & GitHub
Week 2: Resume Building & LinkedIn Optimization
Week 3: Interview Preparation & Mock Interviews
Week 4: Industry Networking & Job Search Strategy
Capstone Projects
End-to-End ML Project
AI-Powered Business Solution
Industry Case Study Analysis
Professional Portfolio Website