Free AWS for Data Science Course

FAQs

• What is the AWS for Data Science course about?

  This course teaches how to use Amazon Web Services (AWS) for building, deploying, and managing data science models and applications. You will learn about various AWS services like S3, EC2, Lambda, and SageMaker, and how to leverage them in the data science workflow for tasks like data storage, computation, and machine learning model deployment.

• Do I need prior knowledge of AWS to take this AWS for Data Science course?

  While prior AWS knowledge is helpful, the course is designed for beginners in AWS and data science. It covers AWS services in detail, along with practical applications in data science, so you can get started from scratch.

• What will I learn in this AWS for Data Science course?

  You will learn to use AWS tools for data storage, computation, and machine learning model training. This includes working with Amazon S3, AWS Lambda, AWS EC2, and Amazon SageMaker to manage data, create pipelines, and deploy machine learning models in the cloud.

• Is this AWS for Data Science course suitable for beginners?

  Yes! The course is perfect for beginners to AWS and data science. It provides step-by-step instructions, hands-on projects, and detailed explanations of AWS services and their use in data science.

• What AWS services are covered in the AWS for Data Science course?

  The course covers key AWS services like Amazon S3 (data storage), AWS EC2 (cloud computing), AWS Lambda (serverless functions), Amazon SageMaker (machine learning), and more. You will learn how to utilize these services to build end-to-end data science pipelines.

• Do I need to have prior knowledge of data science or programming?

  Some basic knowledge of data science concepts and Python programming would be helpful. However, the course also provides an introduction to key data science techniques and tools, so you can learn as you go.

• Will I be able to deploy machine learning models on AWS after completing the course?

  Yes! By the end of the course, you will have the skills to train, deploy, and manage machine learning models on AWS, using Amazon SageMaker for model building and deployment.

• What kind of projects will I work on during this AWS for Data Science course?

  You will work on real-world projects that cover tasks like data preprocessing, model training, and deployment using AWS services. Projects include building machine learning models and deploying them using AWS SageMaker.

• How long will it take to complete this AWS for Data Science course?

  This course on AWS for Data Science is 3 hours.

• How will completing this AWS for Data Science course help my career in data science?

  By completing the AWS for Data Science course, you will gain hands-on experience with cloud-based data science tools and AWS services, which are in high demand. This knowledge is highly valuable for data scientists, machine learning engineers, and cloud professionals working in industries such as finance, healthcare, and tech.