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Programming Essentials in Python (Self-Paced) (Click the Link in the Description to Join) is a Program

Programming Essentials in Python (Self-Paced) (Click the Link in the Description to Join)

Self-paced

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Full program description

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IF THIS IS POSTED THE CLASS IS AVAILABLE TO ENROLL VIA THIS LINK!

 

SELF-ENROLL LINK:     https://www.netacad.com/portal/web/self-enroll/m/course-1756856

 

Objective:

This course is designed to provide a comprehensive introduction to the Python programming language. It covers the fundamental concepts and constructs of Python, and provides an in-depth understanding of the language’s syntax and semantics.

 

What you will learn:

  • The basics of programming using Python
  • How to write, debug and execute Python code
  • Data types, control flow, and functions
  • File handling and exception handling
  • How to work with modules and libraries
  • How to use Python for data analysis and visualization
  • How to use Python for web scraping and automation

Who should take this course:

  • Anyone who wants to learn how to program using Python
  • Professionals looking to add Python to their skill set
  • Students who want to learn Python for data analysis and scientific computing
  • Individuals who are interested in automating tasks or building their own programs

What you need to know:

  • Basic computer skills and knowledge of basic mathematical concepts
  • No prior programming experience is required

Certification:

Upon completion of the course, you will be awarded a certificate of completion from PCAP: Programming Essentials in Python

 

Duration:

The course is expected to be used over two semesters, but can be used in a single-semester(Mini-course) format.

 

Course Format:

This course will be delivered in a combination of lectures, hands-on exercises, quizzes, and projects. You will also have access to online resources such as video tutorials, sample code, and discussion forums.

 

Prerequisites: (What does the student need?)

  • A computer with internet access
  • A working Python environment
  • Any text editor or IDE (Integrated Development Environment)