Python Novice to Pythonista

Course fee

Cost: R3 760.00

Deposit: R940.00

Monthly instalment: R940.00 x 3

Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:

• 52 courses (62h) / 4 labs (16h) / 2 others (1h)
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01181

Course overview:

• Track 1: Python Novice
• Track 2: Python Apprentice
• Track 3: Python Journeyman
• Track 4: Pythonista

What are Aspire Journeys?

Aspire Journeys are guided learning paths designed and published by Skillsoft. These courses provide:

• A clear starting point across the roles and responsibilities of tomorrow.
• Exercises for on-the-job applications to put what you’ve learned into practice.
• Verifiable, shareable, and portable digital badges so you can celebrate accomplishments along the way.
• A diverse array of learning tools from the books to audiobooks to video courses, and more.

The learning path for each journey comprises tracks of content in a recommended order. Completing all content within a track completes the track. Completing all tracks within the journey completes the journey.

Modules and topics covered:

Track 1: Python Novice

• Getting Started with Python: Introduction
• Complex Data Types in Python: Working with Lists & Tuples in Python
• Complex Data Types in Python: Working with Dictionaries & Sets in Python
• Complex Data Types in Python: Shallow & Deep Copies in Python
• Conditional Statements & Loops: If-else Control Structures in Python
• Conditional Statements & Loops: The Basics of for Loops in Python
• Conditional Statements & Loops: Advanced Operations Using for Loops in Python
• Conditional Statements & Loops: While Loops in Python
• Functions in Python: Introduction
• Functions in Python: Gaining a Deeper Understanding of Python Functions
• Functions in Python: Working with Advanced Features of Python Functions
• Final Exam: Python Novice

Track 2: Python Apprentice

• Advanced Python Topics: File Operations in Python
• Advanced Python Topics: Exceptions & Command Line Arguments
• Advanced Python Topics: Modules & Virtual Environments
• Advanced Python Topics: Migrating from Python 2 to Python 3
• Python Classes & Inheritance: Introduction
• Python Classes & Inheritance: Getting Started with Classes in Python
• Python Classes & Inheritance: Working with Inheritance in Python
• Python Classes & Inheritance: Advanced Functionality Using Python Classes
• Data Structures & Algorithms in Python: Fundamental Data Structures
• Data Structures & Algorithms in Python: Implementing Data Structures
• Data Structures & Algorithms in Python: Sorting Algorithms
• Data Structures & Algorithms in Python: Implementing Sorting Algorithms
• Data Structures & Algorithms in Python: Trees & Graphs
• Data Structures & Algorithms in Python: Implementing Trees & Graphs
• Final Exam: Python Apprentice

Track 3: Python Journeyman

• Python Unit Testing: An Introduction to Python’s unittest Framework
• Python Unit Testing: Advanced Python Testing Using the unittest Framework
• Python Unit Testing: Testing Python Code Using pytest
• Python Unit Testing: Testing Python Code Using doctest
• Python Requests: HTTP Requests with Python
• Flask in Python: An Introduction to Web Frameworks & Flask
• Flask in Python: Building a Simple Web Site Using Flask
• Flask in Python: User Interactions in Flask Applications
• Flask in Python: User Authentication in a Flask Application
• Python Concurrent Programming: Introduction to Concurrent Programming
• Python Concurrent Programming: Multithreading in Python
• Python Concurrent Programming: Multiprocessing in Python
• Python Concurrent Programming: Asynchronous Executions in Python
• Final Exam: Python Journeyman

Track 4: Pythonista

• Introduction to Using PyCharm IDE
• Excel with Python: Working with Excel Spreadsheets from Python
• Excel with Python: Performing Advanced Operations
• Excel with Python: Constructing Data Visualizations
• Socket Programming in Python: Introduction
• Socket Programming in Python: Advanced Topics
• Python Design Patterns: Principles of Good Design
• Python Design Patterns: Working with Creational Design Patterns
• Python Design Patterns: Working with Structural Design Patterns
• Python Design Patterns: Working with Behavioural Design Patterns
• Final Exam: Pythonista

Admission requirements

Academic grade: No minimum school pass requirements or formal prerequisites, but it is recommended that candidates have some experience in the lab or field.

Language: Proficiency in English (course material and support only available in English).

Expertise level: Intermediate

Equipment: Access to a PC or laptop with a reliable internet connection.

Effort: Self-paced learning online.

Accreditation status

Course type: Short course

Industry partner: Skillsoft

Certification: Certificate confirming course completion.

Certification issued by: College SA

Assessment details

Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track.

There are no external certification exams for this course.

What to expect

Dedicated support team

We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.

Skillsoft Learner Management System (LMS) access

Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.