Data

Author: Guy Hummel; Difficulty: Advanced; Duration: 38 minutes and 32 seconds; Content Topics: Big Data, Machine Learning; This course has: 9 Lectures

Author: Guy Hummel; Difficulty: Beginner; Duration: 11 minutes and 37 seconds; Content Topics: Storage; This course has: 1 Lecture

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 36 minutes and 43 seconds; Content Topics: Machine Learning; This course has: 7 Lectures

Author: Guy Hummel; Difficulty: Beginner; Duration: 12 minutes and 4 seconds; Content Topics: Storage; This course has: 1 Lecture

Author: Guy Hummel; Difficulty: Intermediate; Duration: 9 minutes and 39 seconds; Content Topics: Object Storage; This course has: 1 Lecture

Author: Guy Hummel; Difficulty: Beginner; Duration: 29 minutes and 9 seconds; Content Topics: NoSQL, Big Data; This course has: 7 Lectures

Author: Chelsea Dohemann; Difficulty: Beginner; Duration: 40 minutes and 43 seconds; Content Topics: Big Data; This course has: 17 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 28 minutes and 2 seconds; Content Topics: SQL, Big Data; This course has: 7 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 19 minutes; Content Topics: SQL; This course has: 15 Lectures

Author: Stuart Scott; Difficulty: Beginner; Duration: 12 minutes and 3 seconds; Content Topics: Big Data; This course has: 6 Lectures

Author: Stephen Cole; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: NoSQL; This course has: 7 Lectures

Author: Stuart Scott; Difficulty: Beginner; Duration: 11 minutes and 4 seconds; Content Topics: Storage; This course has: 2 Lectures

Author: Calculated Systems; Difficulty: Beginner; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures

Author: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs

Author: Matt Martinez; Difficulty: Beginner; Description: In this Lab, you will practice the basics of SQL by connecting to a Microsoft SQL Server instance and then creating, managing and viewing data using a combination of user interface tools and SQL queries.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps

Author: Stephen Cole; Difficulty: Beginner; Duration: 15 minutes and 18 seconds; Content Topics: App Streaming; This course has: 2 Lectures

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon Simple Storage Service (Amazon S3) skills to the test in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Storage; This lab challenge has: 2 Lab steps

Author: Stuart Scott; Difficulty: Intermediate; Description: This course will help you understand the different components and features within Amazon S3 and how to use them within your environment to manage storage; Duration: Up to 10 hours and 51 minutes; Content Topics: Amazon Web Services; This learning path has: 8 Courses, 1 Lab challenge, 1 Exam, 5 Hands-on labs

Author: Andrew Larkin; Difficulty: Beginner; Description: Get started using Amazon Kinesis to create solutions and solve business problems.; Duration: Up to 6 hours and 17 minutes; Content Topics: App Streaming; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: Learn how to load, query, and secure your data in Google BigQuery, Google's lightning-fast data warehouse in the cloud.; Duration: Up to 3 hours and 51 minutes; Content Topics: NoSQL, Big Data; This learning path has: 5 Courses, 1 Exam, 1 Hands-on lab

Author: Francesco Mosconi; Difficulty: Beginner; Description: Get started with Data Science and Deep Learning; Duration: Up to 4 hours and 16 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

Author: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: Follow hands-on examples to import data, run queries, and output the results using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Stream Analytics.; Duration: Up to 9 hours and 56 minutes; Content Topics: Big Data; This learning path has: 7 Courses, 1 Exam, 5 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 7 hours and 17 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs