Data Analytics

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 28 minutes; Content Topics: Microsoft Azure; This learning path has: 7 Courses, 1 Exam, 5 Hands-on labs

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 50 minutes; This learning path has: 5 Courses, 2 Exams

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: This course provides actionable advice for conducting data projects, and for using the insights generated to inform data-driven decision making.; Duration: Up to 53 minutes; This learning path has: 5 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 50 minutes; This learning path has: 5 Courses, 2 Exams

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 47 minutes; This learning path has: 5 Courses, 2 Exams

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: Microsoft Azure; This hands-on lab has: 7 Lab steps

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 51 minutes; This learning path has: 4 Courses, 2 Exams

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 46 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 55 minutes; This learning path has: 5 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 52 minutes; This learning path has: 5 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 50 minutes; This learning path has: 5 Courses, 2 Exams