Big Data
Learning outcomes: Apply big data tools in industry contexts Books and materials: Included Estimated duration: 12 Hours Pricing: USD 99.00
What You'll Learn
Module 1: Foundations of Big Data
This module develops foundations and core concepts for Big Data, with emphasis on Big Data Tools In Industry Contexts.
3 lessons
Lesson 1: Core Concepts: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Module 2: Tools, Systems, and Setup: Big Data Tools In Industry Contexts
This module develops tools, systems, and setup for Big Data, with emphasis on Big Data Tools In Industry Contexts.
3 lessons
Lesson 1: Core Concepts: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Module 3: Workflow, Security, and Quality
This module develops workflow, security, and quality for Big Data, with emphasis on Big Data Tools In Industry Contexts.
3 lessons
Lesson 1: Core Concepts: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Module 4: Practical Applications and Troubleshooting
This module develops practical applications and troubleshooting for Big Data, with emphasis on Big Data Tools In Industry Contexts.
3 lessons
Lesson 1: Core Concepts: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Module 5: Assessment and Certificate Readiness for Big Data
This module develops assessment and certificate readiness for Big Data, with emphasis on Big Data Tools In Industry Contexts.
3 lessons
Lesson 1: Knowledge Review for Big Data
50mThis lesson focuses on assessment and certificate readiness within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 2: Mock Tasks and Performance Checks
50mThis lesson focuses on assessment and certificate readiness within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Lesson 3: Final Readiness and Next Steps
50mThis lesson focuses on assessment and certificate readiness within Big Data. Learners connect core theory to practical expectations in Data Technology, with emphasis on confident execution and measurable progress.
Enrollment
$99
Includes 15 lessons, learner enrollment, and access through the student account.