Data Analysis and Visualization with Python
Key Takeaways
Explains how to use Application Integration to build and configure an integration using Google Cloud services
Original Description
In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries.
As a developer, it's important to understand how to deal with issues that could cause an application to crash. You will learn how to implement exceptions to handle these issues.
You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Python for Data
View skill →Related Reads
📰
📰
📰
📰
We Built the Analytics Tool We Wished Existed. Here’s Why.
Medium · AI
Advancing the Second Brain Model
Medium · Data Science
The Day I Realized Watching Tutorials Wasn’t Enough
Medium · Data Science
Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick
AWS Machine Learning
🎓
Tutor Explanation
DeepCamp AI