Data

Author: Stuart Scott; Difficulty: Beginner; Duration: 10 minutes and 38 seconds; Content Topics: Analytics; This course has: 4 Lectures

Author: Will Meadows; Difficulty: Intermediate; Duration: 14 minutes and 36 seconds; Content Topics: Amazon Web Services; This course has: 3 Lectures

Author: Stuart Scott; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Big Data; This course has: 7 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 39 minutes and 5 seconds; Content Topics: NoSQL, SQL; This course has: 7 Lectures

Author: Hallam Webber; Difficulty: Advanced; Duration: 1 hour and 6 minutes; Content Topics: SQL; This course has: 9 Lectures

Author: Calculated Systems; Difficulty: Beginner; Duration: 19 minutes and 32 seconds; Content Topics: Data Transformation, Data Engineering, Machine Learning; This course has: 6 Lectures

Author: Calculated Systems; Difficulty: Intermediate; Duration: 42 minutes and 22 seconds; Content Topics: Databases; This course has: 16 Lectures

Author: Calculated Systems; Difficulty: Beginner; Duration: 35 minutes and 14 seconds; Content Topics: Data Engineering; This course has: 10 Lectures

Author: Stephen Cole; Difficulty: Intermediate; Duration: 43 minutes and 8 seconds; Content Topics: SQL; This course has: 8 Lectures

Author: Calculated Systems; Difficulty: Beginner; Duration: 31 minutes and 7 seconds; Content Topics: Machine Learning; This course has: 6 Lectures

Author: Hallam Webber; Type: updated learning path; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's PL-300 Power BI Data Analyst Associate exam.; Duration: Up to 20 hours and 27 minutes; Content Topics: Big Data; This learning path has: 19 Courses, 1 Resource, 11 Exams, 1 Hands-on lab

Difficulty: Beginner; Description: In this course, we explore the different types of data that businesses make use of and look at all the ways it can be collected, stored and analyzed.; Duration: Up to 54 minutes; This learning path has: 4 Courses, 2 Exams

Author: Andrew Larkin; Difficulty: Advanced; Description: This course explores the world of data science and gives you hands-on, practical tutorials on how to use Python at an advanced level.; Duration: Up to 13 hours and 32 minutes; Content Topics: Development; This learning path has: 5 Courses, 1 Lab challenge, 1 Exam, 2 Hands-on labs

Author: Greg DeRenne; Difficulty: Intermediate; Description: Learn how to create an Amazon EMR (Elastic MapReduce) cluster and submit work to a cluster in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: Analytics, Storage; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create a DB subnet group, a Neptune Database, and you will perform some SPARQL commands.; Duration: Up to 1 hour and 15 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to aggregate data using Amazon Managed Streaming for Apache Kafka in this Hands-On lab.; Duration: Up to 2 hours; Content Topics: Analytics; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Kinesis Agent application to collect log files and learn how to use AWS Glue and Amazon Athena to query the log data.; Duration: Up to 1 hour and 30 minutes; Content Topics: App Streaming; This hands-on lab has: 6 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a storage bucket that will host a static website. You will then create a load balancer that will balance the traffic to your bucket and you will create a CDN distribution that will edge distribute the load balancer that points to your bucket.; Duration: Up to 45 minutes; Content Topics: Web; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Advanced; Description: Demonstrate the three capabilities of Azure Defender (AD): data discovery & classification, vulnerability assessment, and advanced threat protection to see how AD provides security as a service for your Azure SQL Databases.; Duration: Up to 1 hour; Content Topics: SQL; This hands-on lab has: 6 Lab steps

Author: Richard Beck; Difficulty: Intermediate; Description: This lab shows how to manage the security level of a DVWA application and how to perform a SQL injection to a DVWA application.; Duration: Up to 1 hour; Content Topics: Security attacks; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create two tables in a SQL PostgreSQL database, perform operations on them, monitor the resources usage and test that the atomicity property is respected by the database.; Duration: Up to 1 hour and 15 minutes; Content Topics: SQL; This hands-on lab has: 7 Lab steps