Progressive Training Syllabus

Progressive Training Course

Course Title	[COURSE TITLE]
Course Code	[COURSE CODE]
Instructor Name	[YOUR NAME]
Email	[YOUR EMAIL]
Office Hours	[OFFICE HOURS]
Class Location	[CLASS LOCATION]
Class Time	[CLASS TIME]
Class Duration	[DATE] - [DATE]

1. Course Description

This course provides a comprehensive introduction to Python, a versatile programming language widely used in industry and academia. Over the span of this course, learners will be introduced to the basic concepts in Python programming, covering data types, control flow, functions, and libraries. Untangling more advanced topics, students will also explore object-oriented programming, data structures, and web scraping techniques with Python.

2. Instructor Information

Instructor: [YOUR NAME]

Organization: [YOUR COMPANY NAME]

Contact: [YOUR EMAIL]

3. Learning Objectives

• Understand the basic syntax and data types in Python

• Write control flow statements and functions in Python

• Apply object-oriented programming concepts in Python

• Implement basic data structures in Python

• Perform web scraping using Python libraries

4. Course Schedule

Week	Topic	Reading
1	Python Basics & Data Types	Chapters 1-2
2	Control Flow & Functions	Chapters 3-4
3	Object-Oriented Programming	Chapters 5-6
4	Data Structures	Chapters 7-8
5	Web Scraping with Python	Chapters 9-10

5. Required Reading and Materials

• Think Python: How to Think Like a Computer Scientist by Allen B. Downey

• Learning Python by Mark Lutz

• Python Crash Course by Eric Matthes

• Python for Data Analysis by Wes McKinney

• Automate the Boring Stuff with Python by Al Sweigart

6. Assignments and Assessments

• Python Syntax Quizzes

• Data Structures Project

• Object-Oriented Programming Assignment

• Web Scraping Project

• Final Examination

7. Course Policy

• Attendance: Routine attendance and participation in class discussions is necessary to succeed in this course.

• Late Submission: Late assignment submissions will not be accepted without valid cause.

• Academic Honesty: Plagiarism and other forms of academic dishonesty will not be tolerated.

• Communication: Students are encouraged to reach out to the instructor for any issues or queries regarding the course.

• Respect: A respectful and inclusive environment must be maintained during course duration.

8. Grading Policy

Category	Weight
Quizzes	20%
Assignments	30%
Project	30%
Final Exam	20%

9. Disclaimer

The material covered within the course and the arranged timetable for its dispensation are specific aspects that possess potential for modifications. These possible adjustments may come about as a response to the particular requirements characteristic to the class, or alternatively, they might be established at the guidance and judgment of the individual who is instructing the course.

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