Prerequisite Courses of Artificial Intelligence - Python Basics
Completed by Madyan Mohammed Alammari on June 1, 2026
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Badge ID: nNLPettMRM2Sz3rbTATNGA
About this Badge
You will not be invited to the placement exam unless you finish all of the courses here! (You can finish the mathematics track instead) Content included in the exam Introduction to Data science: - All, but module 4. Data Collection and Processing with Python: - All, but module 4 Python Classes and Inheritance Python Basics Python Functions, Files, and Dictionaries - All content
Learning objectives
- Manipulate and analyze tabular data using Python libraries such as pandas and numpy.
- Fetch, process, and interact with data from REST APIs using Python requests and list comprehensions.
- Implement Python control structures and data structures, including functions, files, dictionaries, and classes.
- Design and test Python classes with inheritance and automated testing practices.
Skills learned
- Pivot Tables And Charts
- Object Oriented Design
- Restful API
- Scripting Languages
- Computer Graphics
- Unit Testing
- Web Scraping
- Functional Design
- Data Cleansing
- Data Manipulation
- Jupyter
- Maintainability
- Debugging
- JSON
- NumPy
- Data Processing
- Statistical Analysis
- Computer Programming
- Data Science
- Development Environment
- Data Transformation
- File Management
- Software Testing
- Data Analysis
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Application Programming Interface (API)
- Probability & Statistics
- Skills section collapsed. Showing 11 of 28 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.