WSQ - Python Applications for Big Data Analytics and AI / Machine Learning and API and Computer Vision Course Plan:

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Learning Unit 1 - Choose tools to develop your application

• Pycharm

• Jupyter Notebook

• Spyder

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Learning Unit 2 - Review of syntax and structures of Python language

• Loops

• Functions

• Object-Oriented Programming

 

Learning Unit 3 - Create user interface using Tkinter

• Text and Images

• User Input

• Frame

• Events

 

Learning Unit 4 - Use API to communicate with servers

• Request: Get, Post, Patch, Delete

• Response

• Headers

• Payload

• JSON

• Private and Public Keys

 

Learning Unit 5 - Web crawling using Selenium

• Find Elements

• Select CheckBox and Radio Button

• Click Image

• Select Value from DropDown

• Mouse Click and Keyboard Event

• Upload and Download File

 

Learning Unit 6 - Use Machine Learning to analyze data / generate models

• Supervised

• Unsupervised learning

• Computer Vision

 

Learning Unit 7 - Manipulate files and folders within our operating system

• Convert from PY to EXE

• Navigating Directories

• Manipulating Files and Folders

 

Learning Unit 8 - Debug and test effectively

• Comments

• Using Print

• Variable Inspections

• Assertions

• Exception Handling

• Test methods

 

Learning Unit 9 - Understand security threats and vulnerabilities

• Common security threat and vulnerabilities

• Good practices