Introduction to Computing in Python

DescriptionQuantityAmountTotalTax
Course Fee for Introduction to Computing in Python1R 5,154.00R 5,154.00R 0.00 (0%)
Total amountR 5,154.00
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Overview

“Introduction to Computing in Python” is a series of courses built from Georgia Tech’s online for-credit version of CS1301: Introduction to Computing. The series is designed to take you from no computer science background whatsoever to proficiency in the basics of computing and programming, specifically in the popular programming language Python. Rated as one of the most in-demand and beginner-friendly programming languages, a background in Python will give you a solid foundation for further studies in computer science.

The course material has been used at Georgia Tech for its for-credit CS1301 class for over a year. Over 400 students on campus have completed this version of the course, and our analysis shows that they exit the course with the same learning outcomes as students taking the traditional on-campus version. This Professional Certificate uses the same instructional material and assessments as this on-campus class, giving you a Georgia Tech-caliber introduction into the field of computing.

This Professional Certificate follows a unique design, separately covering the general, fundamental principles of computer science—which are applicable to any programming language—and then rapidly transitioning into implementing those principles in Python. Short videos (2-3 minutes each) are rapidly interleaved with live programming problems and multiple choice questions to give you constant feedback on your progress and understanding.

  • Fee
    R5145
  • Programme Duration
    5 weeks per course
  • Estimated Effort
    10-11 Hours / Week
  • Courses
    4 courses
Start Dates
  • The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code based on the outcomes.
  • Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.
  • Control structures for developing dynamic programs: conditionals, loops, functions, and error handling.
  • The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
  • Previews of the next big topics in computer science: object-oriented programming and computer algorithms.

The Introduction to Computing in Python includes the following courses:

 

    
  

Computing in Python I: Fundamentals and Procedural Programming
Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs.
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Computing in Python II: Control Structures
Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well.
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Computing in Python III: Data Structures
Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.
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Computing in Python IV: Objects & Algorithms
Learn about recursion, search and sort algorithms, and object-oriented programming in Python.
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  • The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code based on the outcomes.
  • Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.
  • Control structures for developing dynamic programs: conditionals, loops, functions, and error handling.
  • The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
  • Previews of the next big topics in computer science: object-oriented programming and computer algorithms.

 

 

 

  • The Python programming language is currently the most popular language for Data Scientists worldwide. (Source: IEEE)
  • Job opportunities include Software Engineer, Python Developer, Research Analyst, Data Analyst, Data Scientist, Software Developer
  • The average Python developer salary in the US is $116,379 (Source: Gooroo)

Meet Student Advisors

Arlene Lanser

Pearson Student Advisor

Meet our Faculty

David Joyner

Lecturer at the College of Computing