Demo Testing

Overview

This course teaches practical data analysis techniques using Python and Pandas. Students will learn how to build a delivery dataset from scratch using Pandas DataFrame and perform basic aggregation tasks. The course focuses on analyzing delivery times across different cities, identifying patterns and trends through group-by operations. These skills are essential for anyone working with structured data in logistics, e-commerce, or supply chain management.

Objectives

• Learn how to create and manipulate datasets using Pandas DataFrame for delivery time analysis.
• Perform group-by operations to calculate average delivery times by city.

Key topics

• Creating a Delivery Dataset Using Pandas DataFrame
• Finding Top 5 Cities with Highest Average Delivery Time
• Delivery Time Analysis Using Python

Expected outcomes

• Create a delivery dataset using Pandas DataFrame.
• Analyze delivery times and identify top cities with the highest average delivery time.

How the AI Tutor can help

How the Skillama AI Tutor helps with the listed lectures: explanations, follow-up questions, and running or debugging practice code.

Who this is for

This course is for learners who want to analyze delivery data using Python and Pandas.

Curriculum

1. 1. Pandas GroupBy

   • Creating a Delivery Dataset Using Pandas DataFrame

2. 2. Delivery Time Analysis Using Python

   • Find Top 5 Cities with Highest Average Delivery Time