NumPy, Pandas, Matplotlib in Python using Amazon SageMaker

Welcome to the Course NumPy, Pandas, Matplotlib in Python using Amazon SageMakerThis course contains Career building python skills which has been used by the world's largest companies for everything from building python Data structure to implementing the industry projects and computer vision by using OpenCV to data science and machine learning by AWS SageMaker. With SageMaker both Data scientist and developers can quickly and easily build and train a machine learning models and deploy them to the production hosted readyEnvironment. It has internal SageMaker Studio instance for an easy access to your data sources for analysis and deploy your model effortlessly.

Python has rapidly become go-to language in the data science field and is among the first things recruiters search for in a data scientist's skill set. Its an amalgamation of Computer science , Statistics and required domain knowledge as per the industry problems. The top notch companies uses Python some of them are " Google, Facebook,Instagram,Dropbox,Netflix".

Python is a general-purpose, versatile, and powerful programming language. It's a great first language because it's concise and easy to read. Whatever you want to do, Python can do it ,From web development to machine learning to data science,Python is the language for if you are new to computer language then python is something you can start with and kind of approach and logic andapplication python has and is something pretty versatile in itself.

"Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models. " Introduction quoted from the website of AWS SageMaker.