Connect and Transform External Data Seamlessly is an intermediate course for developers and data professionals who need to build reliable pipelines from external data sources. In a connected world, simply accessing an API isn't enough; you must do it securely and be able to use the data you retrieve. This course provides the essential skills to master both sides of that equation: secure connection and effective transformation.
Connect and Transform External Data Seamlessly
Connect and Transform External Data Seamlessly
This course is part of Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
Instructor: LearningMate
Access provided by Mohammed Bin Rashid School of Government
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Securely connect to APIs with OAuth 2.0 and transform nested JSON data into a relational format for analysis.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
January 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
This module provides a practical guide to the modern standard for API security: OAuth 2.0. Learners will move beyond risky hardcoded API keys and apply the OAuth 2.0 protocol to securely authenticate to an external service, manage access tokens, and understand the complete authentication workflow, drawing on best practices from the Azure and DreamFactory case studies.
What's included
2 videos1 reading2 assignments
In this module, you will learn the essential data engineering skill of making API data usable. Modern APIs often return complex, nested JSON, which is difficult to analyze. You will apply JSON parsing techniques to flatten this data into a clean, relational (row-and-column) format, ready for storage and analysis, inspired by the dbt and PostgreSQL case studies.
What's included
2 videos1 reading2 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
164 Courses 9,184 learners
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Computer Science
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.