Apply Postman APIs for Customer Data Management
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Apply Postman APIs for Customer Data Management
This course is part of Apply API Testing & Automation with Postman Specialization
Instructor: EDUCBA
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What you'll learn
Build backend API logic using Flask to manage customer data operations.
Implement and test GET and POST methods using Postman for customer data workflows.
Validate and manage customer records through end-to-end API-based project execution.
Skills you'll gain
Tools you'll learn
Details to know
February 2026
8 assignments
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There are 2 modules in this course
Learners will develop, apply, and evaluate API-based solutions for managing customer data using Postman and Flask. By the end of this course, learners will be able to build backend logic, implement HTTP methods, test APIs effectively, and validate real-world customer data operations through structured API workflows.
This hands-on project-based course is designed to help learners gain practical experience in customer data management using industry-relevant tools. Learners begin by setting up the required environment and understanding the role of Postman, Python libraries, Anaconda, and Flask. As the course progresses, they implement backend functions step by step, connect APIs with Postman, and apply POST and GET methods to manage customer records. The course also covers updating existing data and validating final outputs to ensure end-to-end API functionality. What makes this course unique is its strong focus on applied learning through a complete, guided project rather than isolated concepts. Learners work through realistic development scenarios that mirror professional API workflows, building confidence in designing, testing, and managing APIs. This course is ideal for learners who want to strengthen their practical API skills and apply them directly to customer data management use cases in real-world projects.
This module introduces learners to the fundamentals of API-based customer data management using Postman and Flask. Learners set up the development environment, understand essential tools and libraries, and establish communication between backend APIs and Postman to prepare for building and testing customer data operations.
What's included
7 videos4 assignments
7 videosβ’Total 45 minutes
- Introduction to Projectβ’2 minutes
- Installation of Postmanβ’8 minutes
- Librariesβ’8 minutes
- Anaconda and Basics of Postmanβ’6 minutes
- Understanding Flask and Postmanβ’7 minutes
- Project Setup & Dataset Creationβ’8 minutes
- Creating API Function Callsβ’6 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Foundations of Postman-Based Customer Data Managementβ’30 minutes
- Project Overview and Environment Setupβ’10 minutes
- Tools and Libraries for API Developmentβ’10 minutes
- Connecting Flask with Postmanβ’10 minutes
This module focuses on developing functional backend logic and implementing HTTP methods to manage customer data. Learners build, test, and validate APIs for retrieving and updating data, ensuring accurate output and end-to-end functionality of the customer data management system.
What's included
7 videos4 assignments
7 videosβ’Total 53 minutes
- Main Logic for Insert & Updateβ’6 minutes
- Input Validation & Rating Logicβ’8 minutes
- Handling Missing Records & Data Appendβ’8 minutes
- Post and Get Methodβ’9 minutes
- Implement Get Methodβ’8 minutes
- Update Columnβ’8 minutes
- Output of Codeβ’5 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Implementing and Managing Customer Data APIsβ’30 minutes
- Building Core Application Logicβ’10 minutes
- API Methods for Data Retrievalβ’10 minutes
- Updating Data and Final Outputβ’10 minutes
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