Python Novice to Pythonista

R12 180.00

There are four tracks helping you to progress from Python Novice to Pythonista. These include: Novice, Apprentice, Journeyman and Pythonista.

Online books Digital learning
Clock Start anytime
Study duration (Months)
Computer Skillsoft LMS access
Teacher and student Online Skillsoft mentor
Certificate Certified by Optimi College

Course code: C01181

 

Subjects:

Pythonista 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

Pythonista Track 2: Python Apprentice

Advanced Python Topics: File Operations in Python
Advanced Python Topics: Exceptions & Command Line Arguments
Advanced Python Topics: Python Modules & Virtual Environments
Advanced Python Topics: Migrating from Python 2 to Python 3
Python Classes and 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

Pythonista 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

Pythonista Track 4: Pythonista

Introduction to Using PyCharm IDE
Excel with Python: Working with Excel Spreadsheets from Python
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 Behavioral Design Patterns

The ability to read and write in English.

Learners must be at least 16 years of age.

Expertise level: Intermediate

Course type: Short course

Certification: Certificate confirming course completion.

Certification issued by: Optimi College

Online assessments

Course fee: R12 180.00

Deposit: R5 253.00

Monthly instalment: R577.25

Payment duration: 12 months

Study duration: You will have course access for 12 months. To complete the course, we recommend a total of 120 hours of study, e.g. study 1 hour per day and complete your course in 4 months.

Dedicated support team

Online Skillsoft mentor

Skillsoft Learner Management System (LMS) access

Skillsoft app access

Skillsoft practice labs (online)