Data Analytics

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

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: Parveen Singh; Difficulty: Intermediate; Description: Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: SQL, Big Data; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to store data in Amazon S3 for use with Data Analytics services including Redshift and Athena. Learn how to structure analytic data to maximize performance and minimize costs.; Duration: Up to 1 hour and 15 minutes; Content Topics: Big Data; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Analyze Internet of Things (IoT) sensor data using Azure Stream Analytics to identify if there have been any IoT device failures in this Lab.; Duration: Up to 30 minutes; Content Topics: Internet of Things; This hands-on lab has: 5 Lab steps

Author: Guy Hummel; Difficulty: Intermediate; Duration: 49 minutes and 50 seconds; Content Topics: Big Data; This course has: 9 Lectures

Author: Guy Hummel; Difficulty: Advanced; Duration: 29 minutes and 48 seconds; Content Topics: SQL, Big Data; This course has: 6 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 17 minutes and 51 seconds; Content Topics: SQL, Big Data; This course has: 6 Lectures

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

Difficulty: Beginner; Description: An overview of why data analytics is an essential capability for businesses, and an introduction to the key methods and principles of the discipline.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

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 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

Author: Andrea Giussani; Difficulty: Advanced; Duration: 41 minutes and 6 seconds; Content Topics: Analytics, Development; This course has: 5 Lectures

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your skills to the test in this data analytics lab. Complete a data analytics processing solution before time runs out. You will need to be familiar with Amazon's Data Analytics services and associated tools in order to complete a partially built solution for processing log data from an EC2 instance using Amazon Kinesis, AWS Lambda, and Amazon S3.; Duration: Up to 1 hour and 15 minutes; Content Topics: Serverless, App Streaming; This lab challenge has: 2 Lab steps

Difficulty: Beginner; Description: This course explores why collecting data directly from consumers is key to understanding their behaviors, and meeting their needs and preferences.; Duration: Up to 13 minutes; This learning path has: 1 Course

Difficulty: Intermediate; Description: Explore the use of consumer data for targeted segments, with a focus on AI's role in crafting intelligent and nuanced profiles.; Duration: Up to 45 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: Covering the fundamentals of the CRM ecosystem, this course unpacks this vital technology, examining what it is, how it works and what it offers business.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: Learn the steps you need to take to create and optimize a CRM Strategy, as well as governance and ethics for working with customer data.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: An overview of eCommerce analytics: what it is and why it matters for brands, and how it can be implemented in order to drive business performance.; Duration: Up to 54 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores common challenges in creating value with data, and the key capabilities required to conduct effective data analytics projects.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: This course provides actionable advice for conducting data projects, and for using the insights generated to inform data-driven decision making.; Duration: Up to 52 minutes; This learning path has: 4 Courses, 2 Exams

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 22 seconds; Content Topics: Internet of Things; This course has: 2 Lectures

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Description: Machine Learning and Analytics (CLF-C02); Duration: Up to 20 minutes; Content Topics: Machine Learning; This exam has: 12 Questions