Courses

Data Science with Python: Course Roadmap

1. Introduction to Data Science and Python

• Week 1: Understanding Data Science
  • Overview of Data Science
  • Importance and applications of Data Science in various industries
• Week 2: Getting Started with Python
  • Introduction to Python programming
  • Setting up the development environment
  • Basic Python syntax and concepts

2. Python Programming Foundation

• Week 3: Core Python Concepts
  • Data types, variables, and basic operations
  • Control structures: if-else statements, loops
• Week 4: Functions and Modules
  • Writing and calling functions
  • Organizing code with modules and packages

3. Working with Data in Python

• Week 5: Data Handling with Pandas
  • Introduction to Pandas library
  • Data manipulation and cleaning techniques
• Week 6: Data Visualization
  • Exploring data with Matplotlib and Seaborn
  • Creating informative plots and charts

4. Introduction to Statistics and Mathematics for Data Science

• Week 7: Descriptive Statistics and Probability
  • Basic statistical concepts
  • Probability distributions
• Week 8: Inferential Statistics
  • Hypothesis testing
  • Correlation and regression analysis

5. Machine Learning with Python

• Week 9: Foundations of Machine Learning
  • Overview of machine learning
  • Supervised vs. unsupervised learning
• Week 10: Building Machine Learning Models
  • Linear and logistic regression
  • Decision trees and random forests
• Week 11: Advanced Machine Learning Concepts
  • Support vector machines (SVM)
  • Neural networks and deep learning basics

Full Stack Web Development with Django: Course Roadmap

6. Special Topics in Data Science

• Week 12: Natural Language Processing (NLP)
  • Text processing and analysis with NLTK and spaCy
• Week 13: Time Series Analysis
  • Understanding time series data
  • Forecasting models
• Week 14: Big Data Technologies
  • Introduction to Big Data
  • Basics of PySpark for handling large datasets

7. Capstone Project

• Weeks 15-16: Real-world Data Science Project
  • Applying concepts learned throughout the course
  • Project presentation and review

8. Career Preparation and Advancement

• Week 17: Data Science Portfolio Development
  • Compiling projects and code snippets into a portfolio
• Week 18: Preparing for the Data Science Job Market
  • Resume building
  • Interview Preparation

Integrating full stack web development with Django into your curriculum offers a practical and comprehensive skill set for aspiring web developers. Django, a high-level Python web framework, encourages rapid development and clean, pragmatic design. Below is a suggested course roadmap that covers both frontend and backend development using Django, ensuring a well-rounded full stack education.

Full Stack Web Development with Django: Course Roadmap1. Introduction to Web Development

• Week 1: Understanding Web Development
  • Overview of web development
  • Client-server architecture
  • Introduction to HTML, CSS, and JavaScript
• Week 2: Introduction to Django and Python
  • Setting up Django environment
  • Django architecture and components

2. Frontend Development Basics

• Week 3: HTML and CSS for Beginners
  • Basic HTML tags and structure
  • Styling with CSS, including layouts, grids, and responsive design
• Week 4: JavaScript and the DOM
  • JavaScript basics for interactivity
  • Manipulating the Document Object Model (DOM)

3. Django Fundamentals

• Week 5: Django Models and Admin Interface
  • Defining models and understanding the ORM
  • Managing data with the Django admin site
• Week 6: Django Views and URL Routing
  • Function and class-based views
  • URL routing and handling requests

4. Advanced Frontend Techniques

• Week 7: Advanced CSS and Responsive Design
  • Flexbox and CSS Grid
  • Media queries for responsive design
• Week 8: Introduction to Frontend Frameworks
  • Using Bootstrap with Django
  • Basics of Vue.js or React (optional)

5. Integrating Frontend with Django

• Week 9: Templating with Django
  • The Django template language
  • Rendering dynamic data in templates
• Week 10: Static and Media Files
  • Managing static files (CSS, JavaScript, images)
  • Uploading and handling media files

6. Full Stack Development Concepts

• Week 11: User Authentication and Permissions
  • Implementing user authentication
  • Managing permissions and authorizations
• Week 12: Advanced Django Features
  • Customizing the Django admin
  • Signals and middleware

7. APIs and Web Services

• Week 13: Working with Django Rest Framework
  • Building RESTful APIs with Django Rest Framework
  • Serializers and viewsets
• Week 14: Consuming APIs with JavaScript
  • Fetch API and AJAX
  • Integrating third-party APIs

8. Testing and Deployment

• Week 15: Testing Django Applications
  • Writing unit tests
  • Test-driven development (TDD) basics
• Week 16: Deployment and Best Practices
  • Deploying Django applications to production
  • Security best practices
  • Performance optimization

9. Capstone Project

• Weeks 17-18: Full Stack Web Development Project
  • Conceptualizing and developing a full stack web application
  • Incorporating both frontend and backend technologies learned

10. Career Preparation

• Week 19: Building Your Portfolio
  • Compiling and presenting development projects
• Week 20: Entering the Job Market
  • Resume and cover letter preparation
  • Interview techniques and networking tips

This roadmap is designed to take learners from the basics of web development to building full stack web applications with Django and modern frontend technologies. By the end of the course, students will have a strong foundation in both frontend and backend development, capable of designing and deploying robust web applications.