SQL for Data Analytics (Advanced Queries)
Learning outcomes: Master joins, subqueries, CTEs, aggregation, and performance basics. Books and materials: Included Estimated duration: 8 hours Pricing: USD 99.00
What You'll Learn
Module 1: Foundations of SQL for Data Analytics (Advanced Queries)
This module develops foundations and core concepts for SQL for Data Analytics (Advanced Queries), with emphasis on Joins, Subqueries, and Ctes.
3 lessons
Lesson 1: Core Concepts: Foundations and Core Concepts
40mThis lesson focuses on foundations and core concepts within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Foundations and Core Concepts
40mThis lesson focuses on foundations and core concepts within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Foundations and Core Concepts
40mThis lesson focuses on foundations and core concepts within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 2: Tools, Systems, and Setup: Joins
This module develops tools, systems, and setup for SQL for Data Analytics (Advanced Queries), with emphasis on Joins, Subqueries, and Ctes.
3 lessons
Lesson 1: Core Concepts: Tools, Systems, and Setup
40mThis lesson focuses on tools, systems, and setup within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Tools, Systems, and Setup
40mThis lesson focuses on tools, systems, and setup within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Tools, Systems, and Setup
40mThis lesson focuses on tools, systems, and setup within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 3: Workflow, Security, and Quality
This module develops workflow, security, and quality for SQL for Data Analytics (Advanced Queries), with emphasis on Joins, Subqueries, and Ctes.
3 lessons
Lesson 1: Core Concepts: Workflow, Security, and Quality
40mThis lesson focuses on workflow, security, and quality within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Workflow, Security, and Quality
40mThis lesson focuses on workflow, security, and quality within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Workflow, Security, and Quality
40mThis lesson focuses on workflow, security, and quality within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 4: Practical Applications and Troubleshooting
This module develops practical applications and troubleshooting for SQL for Data Analytics (Advanced Queries), with emphasis on Joins, Subqueries, and Ctes.
3 lessons
Lesson 1: Core Concepts: Practical Applications and Troubleshooting
40mThis lesson focuses on practical applications and troubleshooting within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Practical Applications and Troubleshooting
40mThis lesson focuses on practical applications and troubleshooting within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Practical Applications and Troubleshooting
40mThis lesson focuses on practical applications and troubleshooting within SQL for Data Analytics (Advanced Queries). Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Enrollment
$99
Includes 12 lessons, learner enrollment, and access through the student account.