Python for AI Certification Training Course

Learning Objective:

• Understanding coding console
• Data Structures
• Control Structures
• Graded Questions

Expected Outcome:

• Build a foundation for the most in-demand programming language of the 21st century.

Use Cases/Projects:

• Mini-projects: Solve coding challenges that reinforce fundamental programming concepts (e.g., building a simple calculator, creating a basic game).

Assessment Method:

• Coding assignments and quizzes: Assess understanding of syntax, data types, control flow, and functions.
• Code review: Evaluate code quality, style, and adherence to best practices.

Learning Objective:

• Intro to NumPy
• Operations on NumPy arrays
• Intro to Pandas
• Getting and cleaning data
• Graded Questions

Expected Outcome:

• Learn how to manipulate datasets in Python using Pandas which is the most powerful library for data preparation and analysis.

Use Cases/Projects:

• Project: Perform data cleaning and manipulation on a real-world dataset using Pandas (e.g., handling missing values, formatting data, creating new features).

Assessment Method:

• “Data wrangling assignments: Test the ability to clean, transform, and prepare data for analysis. Jupyter Notebook submissions: Evaluate code, documentation, and insights derived from the data.”