Data

Author: Calculated Systems; Difficulty: Beginner; Description: Learn how Amazon Quicksight can help you get the most out of your data by allowing you to visualize, embed, and share data quickly.; Duration: Up to 1 hour; Content Topics: Analytics; This hands-on lab has: 3 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Practice using Azure Data Lake Storage and Azure Databricks to load, analyze and visualize data by creating a Databricks cluster and notebook and using them to work with data.; Duration: Up to 1 hour and 30 minutes; Content Topics: Big Data, Machine Learning; This hands-on lab has: 2 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: This lab challenge provides you with a SQL environment. You must perform several SQL tasks to complete the challenge.; Duration: Up to 1 hour; Content Topics: SQL; This lab challenge has: 3 Lab steps

Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 23 minutes; Content Topics: Machine Learning; This course has: 13 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 30 minutes and 49 seconds; Content Topics: Machine Learning; This course has: 6 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 26 minutes and 47 seconds; Content Topics: Machine Learning; This course has: 7 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 39 minutes and 32 seconds; Content Topics: Machine Learning; This course has: 8 Lectures

Author: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 22 seconds; Content Topics: Development; This course has: 5 Lectures

Author: Andrew Larkin; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Machine Learning; This course has: 6 Lectures

Author: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 3 seconds; Content Topics: Data Engineering; This course has: 5 Lectures

Difficulty: Intermediate; Description: This course explores how to effectively leverage retail data to unlock commercial opportunities and deliver an optimized consumer experience.; Duration: Up to 50 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 45 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: An overview of the different types and sources of retail data available, and how suppliers and retailers can collect and analyze it effectively.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: We explore the benefits of effective data visualization, the different types of graphs that are typically involved, and how to interpret data visualizations you; Duration: Up to 43 minutes; This learning path has: 3 Courses, 2 Exams

Author: Kunal Haria; Difficulty: Beginner; Description: This lab includes several modules for you to work through to cement your R fundamentals proficiency.; Duration: Up to 8 hours; This hands-on lab has: 2 Lab steps

Author: Stuart Scott; Difficulty: Beginner; Description: Learn how to configure and implement Amazon EC2 and the Elastic Block Store service (EBS); Duration: Up to 12 hours and 5 minutes; Content Topics: Storage, Compute; This learning path has: 5 Courses, 2 Lab challenges, 1 Exam, 7 Hands-on labs

Author: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

Author: Francesco Mosconi; Difficulty: Intermediate; Description: This Course gives an informative introduction to deep learning and introducing neural networks.; Duration: Up to 3 hours and 28 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam

Author: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs

Author: Logan Rakai; Difficulty: Intermediate; Description: Use SQL in an Azure Databricks lab playground to answer exam questions about customer and country data.; Duration: Up to 2 hours and 30 minutes; Content Topics: SQL, Big Data, Machine Learning; This learning path has: 1 Resource, 1 Exam, 1 Hands-on lab

Difficulty: Intermediate; Description: A guide to designing, building and operationalizing a data strategy that unlocks the huge potential of data in achieving overall business goals.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we examine how to create compelling data stories grounded in solid insights that will strengthen your organization’s ability to make data-driven; Duration: Up to 52 minutes; This learning path has: 4 Courses, 2 Exams

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a Google Cloud Spanner database, you will define a schema for a table, and you will perform some SQL queries.; Duration: Up to 45 minutes; Content Topics: SQL; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Glue jobs to perform an Extract, Transform, and Load (ETL) task in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps