According to “The State of Data Science 2020” study, exploratory data analysis (EDA), data management, feature selection, and feature engineering accounts for more than 66% of a data scientist’s time.
The data analysis process involves many steps on the data, such as cleansing and transformation, to find out what hidden information the data has and how this information can help us in our decision‑making process.
Want to know more about the Exploratory Data Analysis with AWS Machine Learning? Read the blog post at https://k21academy.com/awsml18 to learn more.
The blog post covers:
• What Is Data Analysis?
• What Is Data?
• Usage of Data Analysis
• Types of Visualizations
• Why Data Preparation?
• What Is Amazon QuickSight?
• Amazon SageMaker Data Wrangler
If you are planning to become an AWS Certified Machine Learning – Specialty Certification, then join the waitlist at https://k21academy.com/awsml02.
Also, do not forget to join our FREE Telegram group at https://t.me/k21amazonaws and be the first to receive AWS-related news and updates.
Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.