Python for Everybody Specialization Course Syllabus

Overview: This specialization offers a comprehensive introduction to Python programming, designed for beginners with no prior coding experience. The course is divided into five core modules and a final capstone project, spanning approximately 6-8 months with a time commitment of 6-10 hours per week. Learners will progress from foundational syntax and programming concepts to advanced applications such as data analysis, automation, and AI. Each module emphasizes hands-on learning through coding exercises and real-world projects, culminating in a portfolio-ready capstone project that demonstrates practical proficiency in Python.

Module 1: Python Basics

Estimated time: 40 hours

• Introduction to Python syntax and programming fundamentals
• Working with variables, data types, and operators
• Using conditionals and loops for control flow
• Writing and calling functions for modular programming

Module 2: Data Structures and Algorithms

Estimated time: 60 hours

• Working with lists, tuples, dictionaries, and sets
• Implementing searching and sorting algorithms
• Understanding recursion and its applications
• Introduction to algorithm complexity and analysis

Module 3: Python for Data Analysis

Estimated time: 90 hours

• Using Pandas and NumPy for data manipulation
• Cleaning and transforming real-world datasets
• Performing exploratory data analysis
• Creating visualizations with Matplotlib and Seaborn

Module 4: Advanced Applications

Estimated time: 110 hours

• Web scraping using BeautifulSoup and requests
• Automating tasks with Python scripts
• Introduction to machine learning concepts with scikit-learn
• Applying Python in AI-related workflows

Module 5: Capstone Project

Estimated time: 130 hours

• Designing a real-world problem solution using Python
• Developing a data analysis or automation application
• Documenting and presenting a portfolio-ready project

Module 6: Final Project

Estimated time: 20 hours

• Finalizing project code and documentation
• Presenting findings or functionality
• Receiving peer feedback and submitting for evaluation

Prerequisites

• No prior programming experience required
• Basic computer literacy
• Access to a computer with internet connection

What You'll Be Able to Do After

• Write Python programs using proper syntax and structure
• Use core data structures and algorithms effectively
• Analyze and visualize data using Python libraries
• Automate real-world tasks and scrape web data
• Build and present a professional Python project