AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 4 Analysis and Visualization

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Noah Gift

26:25

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1. Determine the Operational Characteristics of the Analysis and Visualization Solution

001. Introduction to domain.mp4

00:56

002. Cleaning data.mp4

01:28

003. Scaling data.mp4

01:30

004. Labeling data.mp4

01:24

005. Using Mechanical Turk labeling.mp4

01:35

006. Identify and extract features.mp4

01:44

007. Feature engineering concepts.mp4

01:34

2. Select the Appropriate Data Analysis Solution for a Given Scenario

008. Graphing data fo.mp4

03:46

009. Clustering data.mp4

02:08

3. Select the Appropriate Data Visualization Solution for a Given Scenario

010. Exploring t.mp4

03:03

011. SageMaker C.mp4

05:20

4. Define Data Lifecycle Based on Usage Patterns and Business Requirements

012. Train and t.mp4

01:57

Description

The AWS Certified Data Analytics credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty certification validates expertise in using AWS data lakes and analytics services to get insights from data. In this course, Noah Gift focuses on the fourth domain of the exam: Analysis and Visualization. Join Noah as he shows you how to: determine the operational characteristics of the analysis and visualization solution; select the appropriate data analysis solution for a given scenario; and select the appropriate data visualization solution for a given scenario.

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Data Visualization

Amazon AWS

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.