DETAILS :

🔹 Phase 1: Python Fundamentals (Days 1–10)

Day 1: Introduction to Python

Objectives:

• Understand what Python is and why it's popular.

• Set up Python and a code editor.

• Learn how to run a basic Python script.

Day 2: Variables and Data Types

Objectives:

• Learn how to create and use variables.

• Explore data types: integer, float, string, and boolean.

• Understand type conversion and basic input/output.

Day 3: Basic Operators

Objectives:

• Use arithmetic, comparison, logical, and assignment operators.

• Understand operator precedence and basic expressions.

Day 4: Working with Strings

Objectives:

• Perform string concatenation, slicing, and indexing.

• Explore common string methods.

• Format strings using different techniques.

Day 5: Conditional Statements

Objectives:

• Write if, if-else, and if-elif-else statements.

• Use logical conditions and nested conditionals in decision-making.

Day 6: Lists

Objectives:

• Create, modify, and access lists.

• Use common list methods and slicing techniques.

• Understand the basics of list comprehensions.

Day 7: Loops

Objectives:

• Write for and while loops.

• Use control statements like break and continue.

• Iterate through lists and ranges.

Day 8: Tuples and Dictionaries

Objectives:

• Understand tuple properties and usage.

• Work with dictionaries: keys, values, and items.

• Perform basic operations like adding and removing elements.

Day 9: Functions

Objectives:

• Define and call functions with parameters.

• Understand return values and variable scope.

• Differentiate between local and global variables.

Day 10: Modules and File Handling

Objectives:

• Import and use standard Python modules.

• Read from and write to files.

• Understand how to work with file paths and file objects.

🔹 Phase 2: Web Development with Flask (Days 11–18)

Day 11: Web Basics and HTML

Objectives:

• Understand the client-server model and HTTP.

• Learn basic HTML structure and tags.

Day 12: CSS Basics

Objectives:

• Apply styles using inline, internal, and external CSS.

• Use selectors and common styling properties.

Day 13: Flask Setup and Basic Routing

Objectives:

• Install and configure Flask.

• Create a basic Flask application with a route.

Day 14: Templates with Jinja2

Objectives:

• Use Jinja2 for rendering templates.

• Pass data from Python to HTML.

• Use template inheritance and control structures.

Day 15: Handling Forms in Flask

Objectives:

• Create and process HTML forms.

• Handle GET and POST requests using Flask.

• Access form data in the backend.

Day 16: Static Files and Layout

Objectives:

• Organize and serve static files.

• Structure projects using templates and static folders.

• Apply CSS for layout and design.

Day 17: URL Building and Redirects

Objectives:

• Use Flask functions for dynamic URLs and redirection.

• Provide user feedback with flash messages.

Day 18: Mini Flask Project

Objectives:

• Apply knowledge to build a small web application.

• Practice project structure, templates, and routing.

🔹 Phase 3: AI, Data Science & ML Basics (Days 19–28)

Day 19: Introduction to AI, Machine Learning, and Data Science

Objectives:

• Understand the differences and connections between AI, ML, and Data Science.

• Learn about real-world applications and ML types.

Day 20: NumPy Basics

Objectives:

• Learn to create and manipulate arrays.

• Understand array shapes, indexing, and slicing.

Day 21: Working with NumPy Functions

Objectives:

• Use array creation and mathematical functions.

• Apply aggregations and broadcasting techniques.

Day 22: Introduction to Pandas

Objectives:

• Create and explore Series and DataFrames.

• Load and inspect data from CSV and other sources.

Day 23: Data Selection in Pandas

Objectives:

• Select rows and columns using loc and iloc.

• Filter data using boolean conditions.

• Set and reset indices.

Day 24: Data Cleaning and Summary Statistics

Objectives:

• Handle missing data.

• Use summary methods like describe() and info().

• Apply grouping and aggregation.

Day 25: Data Visualization with Matplotlib

Objectives:

• Create basic plots: line, bar, scatter, and histograms.

• Customize plot elements like titles and labels.

Day 26: Visualizations with Seaborn

Objectives:

• Use Seaborn for high-level statistical graphics.

• Create clear and informative plots with minimal code.

Day 27: Machine Learning Basics with Scikit-learn

Objectives:

• Understand the machine learning pipeline.

• Split data into training and testing sets.

Day 28: Building a Simple Machine Learning Model

Objectives:

• Train a model using a basic algorithm.

• Make predictions and evaluate model performance.

🔹 Phase 4: Consolidation & Projects (Days 29–30)

Day 29: Integration and Review

Objectives:

• Combine Flask with Pandas and Scikit-learn.

• Review and troubleshoot common issues.

Day 30: Final Project and Next Steps

Objectives:

• Build and present a final project using what you've learned.

• Explore advanced topics and plan further learning paths.