| Project | Build real programs and mini projects that encourage creative thinking and innovation. |
|---|---|
| Class Duration | 1 Hour |
| Total Class | 90 |
| Language | English, Bangla |
Day 1-5: Introduction to Data Science & Python Basics
Day 6-10: Variables, Data Types & Input/Output
Day 11-15: Conditional Statements, Loops & Logic
Day 16-20: Functions, Modules & Code Reusability
Day 21-25: Data Structures: Lists, Tuples, Dictionaries
Day 26-30: NumPy & Pandas for Data Handling
Day 31-35: Data Cleaning & Preprocessing Techniques
Day 36-40: Data Visualization: Matplotlib & Seaborn
Day 41-45: Mini Project: Data Analysis & Reporting
Day 46-50: Statistical Analysis & Hypothesis Testing
Day 51-55: Supervised Learning: Regression Models
Day 56-60: Classification Techniques: Logistic Regression, Decision Trees
Day 61-65: Unsupervised Learning: Clustering & PCA
Day 66-70: Exploratory Data Analysis Projects
Day 71-75: Real-world ML Applications & Projects
Day 76-80: Feature Engineering & Model Evaluation
Day 81-85: Final Projects: Predictive Modeling
Day 86-90: Capstone Project: End-to-End Data Science Solution
Master Data Science from scratch and become job-ready within 90 days.
