Nina Zakharenko
Microsoft
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Python Learning PathCreate Applications with a Popular Language for Data Science and More
Understand why Python is a fantastic language with growing communities around data science, machine learning, AI, and web development.
Total time: 9 hours, 36 minutes
Core Coursework
Take these in order
Prerequisite: Experience with another programing language or programming concepts like functions, loops, and conditions
Editor's Note
Learn the fundamentals of Python from the basic syntax to more complex use cases like OOP and working with web frameworks.
Practical Guide to Python
In this Python course, you're going to learn how to structure your programs with functions, loops, logic, and objects and end the course using the Django framework.
Editor's Note
Go deeper with Python by learning advanced use cases, exception handling, and how to craft libraries and modules.
Intermediate Python
Nina Zakharenko
Microsoft
Utilize comprehensions to manipulate large quantities of data, Python's OO system, how to approach error handling, and how to utilize a web framework in your application.
Elective Coursework
Optional, take in any order
Python Fundamentals
Create and run simple Augment Python programs, including working with the available data types, writing functions and classes, and much more. Read more!
A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras
Learn Machine Learning, Deep Learning, and AI through hands-on examples of image categorization, image manipulation, and text analytics.
Basics of Go
Get an introduction to Go. Learn basic syntax like variables, constants, data types, and creating and importing packages. Get hands-on with all the necessary features of Go to get up to speed with the language quickly!
Build Go Apps That Scale on AWS
Learn Go, AWS CDK, Lambdas, DynamoDB, API Gateway, JSON Web Tokens, and deploy infrastructure as code!
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