Pythonista to Python Master

Course fee

Cost: R6 000.00

Deposit: R1 500.00

Monthly instalments: R900.00 x 5

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

• 48 courses (63h 11m) / 5 labs (20h)
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01392

Course overview:

• Track 1: Python for Developers
• Track 2: Data Visualization for Web Apps Using Python
• Track 3: Dynamic Data Handling with Python
• Track 4: Building Restful Web Services with Python
• Track 5: Resource Optimization with Python

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 for Developers

• Python Development: Getting Started with Programming in Python
• Python Development: Performing Operations with Complex Data Types
• Python Development: Working with If Statements, Loops, & Comprehensions
• Python Development: Defining, Configuring, & Invoking Functions
• Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
• Python Development: Creating Classes, Handling Errors, & Importing Modules
• Final Exam: Python for Developers

Track 2: Data Visualization for Web Apps Using Python

• Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
• Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
• Python with Altair: An Introduction to Altair
• Python with Altair: Plotting Fundamental Graphs
• Python with Altair: Working with Specialized Graphs
• Dash Python Framework: Dash for Interactive Web Apps
• Dash Python Framework: Leveraging Dash with User Input & Dash DataTable
• Dash Python Framework: Creating Widgets in Dash Apps
• Final Exam: Data Visualization for Web Apps Using Python

Track 3: Dynamic Data Handling with Python

• SQL Databases Using SQLAlchemy: Getting Started
• SQL Databases Using SQLAlchemy: Manipulating Data
• SQL Databases Using SQLAlchemy: Querying Data
• SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes
• SQL Databases Using SQLAlchemy: Using Triggers, Stored Procedures, & Transactions
• SQL Databases Using SQLAlchemy: Using the SQLAlchemy ORM
• Operations with petl: Introduction
• Operations with petl: Basic Data Transformations
• Operations with petl: Advanced Extractions & Transformations
• HTTP Requests with HTTPX: Introduction
• HTTP Requests with HTTPX: Advanced Topics
• Final Exam: Dynamic Data Handling with Python

Track 4: Building Restful Web Services with Python

• Flask-RESTful: Getting Started with Flask-RESTful to Build APIs
• Flask-RESTful: Parsing & Validating Input Requests
• Flask-RESTful: Integrating the API Server with a MySQL Database
• Molten Framework: Building HTTP APIs
• Molten Framework: Advanced Features
• Web Applications with Django: Introducing the Django Web Framework
• Web Applications with Django: Using Built-in and Custom Applications
• Web Applications with Django: Working with Models
• Web Applications with Django: Models and Class-based Views
• Web Applications with Django: Building Multiple Apps in a Project
• Web Applications with Django: Developing REST APIs
• Final Exam: Building Restful Web Services with Python

Track 5: Resource Optimization with Python

• OpenCV: Introduction
• OpenCV: Manipulating Images
• OpenCV: Advanced Image Operations
• Faust: Getting Started with Stream Processing
• Faust: Stream Processing Using Models, Agents, & Channels
• Faust: Performing Operations & Maintaining State Using Tables
• Faust: Stream Processing Using Windowing Operations
• Final Exam: Resource Optimization with Python

Admission requirements

Academic grade: No minimum school pass requirements or formal prerequisites, but it we recommend the following prerequisite skills:

• Knowledge of Python programming
• Knowledge of data visualization
• Knowledge of databases

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

Expertise level: Beginner

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.