Machine Learning and Data Science with AWS
Learn various cloud services on AWS- Glue, Athena, Quicksight and Comprehend
Welcome to this course on Machine Learning and Data Science with AWS. Amazon Web services or AWS is one of the biggest cloud computing platform where everything gets deployed to scale and action. Understanding the concepts and methods are vital, but being able to develop and deploy those concepts in forms of real life applications is something that is most weighted by the industry. Thus, here in this course, we are focused on ways you can use various cloud services on AWS to actually build and deploy you ideas into actions on multiple domains on Machine Learning and Data Science. You could be an IT professional looking for job change or upgrading your skillset or you could be a passionate learner or cloud certification aspirant, this course is for wider audience that if formed by the people who would like to learn any of these or a combination of these things-
Create and Analyze dataset to find insights and spot outliers or trends
Build Data visualization reports and dashboards by combining various visualization charts to represent data insights
Develop machine learning models for Natural Language Processing for various applications on AWS
And much more.
This course consists of multiple topics that are arranged in multiple sections. In the first few sections you would learn cloud services related to Data Science and Analysis on AWS with hands on practical examples. There you would be learning about creating a crawler in Glue, Analyzing dataset using SQL in Amazon Athena. After that you would learn to prepare a dataset for creating Data Visualization charts and reports that can be used for finding critical insights from the dataset that can be used in decision making process. You will learn to create calculated fields, excluded lists and filters on AWS Quicksight, followed by some advanced charts such as Word cloud and Funnel chart.
After that in Machine Learning section, you will learn about Natural language processing and it's application with the help of AWS Comprehend and Translate. AWS Comprehend is used to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents. AWS Translate is used for translating language from one language to another.
What will you learn in this course:
- You could prepare your dataset using AWS Glue, and Quicksight
- Perform Data Analysis using Athena
- Could Create Data Visualization Charts with Quicksight
- You could create and develop machine learning models using Natural Language Processing
What are the prerequisites for this course?
- Before taking this course, if you are already familiar with Data Science and Machine Learning at basic level, it would be useful.
Check out the detailed breakdown of what’s inside the course
- Introduction 01:27 01:27
Glue and Athena
Data Preparations with Quicksight
NLP Natural Language Processing
Pranjal SrivastavaSME of AWS & IBM Cloud
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 60+ courses on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
Our students work
with the Best
Related Video CoursesView More
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video CoursesSubscribe now
Master prominent technologies at full length and become a valued certified professional.Explore Now