Splunk 8.0 for Analytics and Data Science Training
Build practical Splunk skills in preparing data, performing statistical analysis, building predictive workflows, and operationalizing insights through four structured lessons, guided labs, validation, troubleshooting, and governance.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Splunk 8.0 for Analytics and Data Science Training develops practical capability in preparing data, performing statistical analysis, building predictive workflows, and operationalizing insights. Learners progress from core architecture and terminology through guided configuration, analysis, validation, troubleshooting, documentation, and operational governance. The curriculum is independently rewritten for SkillDynamo and is designed for instructor-led demonstrations and hands-on practice.
What You Will Learn
- Explain the architecture, terminology, data flow, personas, and business outcomes associated with preparing data, performing statistical analysis, building predictive workflows, and operationalizing insights.
- Apply the relevant Splunk searches, configuration, integrations, security controls, and operational workflows.
- Validate results using realistic scenarios, diagnostics, logs, dashboards, test evidence, and troubleshooting methods.
- Document design and administration decisions while applying performance, security, release, maintenance, and governance practices.
Who Should Attend
Splunk users, administrators, analysts, developers, security practitioners, and operations professionals with foundational platform experience.
Recommended Prerequisites
Splunk fundamentals, basic SPL, data concepts, and familiarity with the relevant operational or security use case are recommended.
SkillDynamo Training Approach
Training combines instructor demonstrations, structured labs, scenario-based exercises, implementation or analysis worksheets, troubleshooting practice, knowledge checks, documentation, and a final practical review.
Version and Product Note
This source-aligned course references an older product release or legacy product name. Validate menus, APIs, supported deployment models, licensing, and migration guidance against the current delivery environment.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- Course Curriculum4 Items
- 1.1Lesson 1: Analytics Use Cases, Data Understanding, SPL Preparation, Sampling, Quality, and Feature Design6 Hours
- 1.2Lesson 2: Statistical Commands, Distributions, Correlation, Time Series, Outliers, and Exploratory Analysis6 Hours
- 1.3Lesson 3: Machine Learning Workflow, Training, Validation, Evaluation, Interpretation, and Experiment Tracking6 Hours
- 1.4Lesson 4: Dashboards, Alerts, Model Operations, Governance, Monitoring, and Analytics Capstone6 Hours
SkillDynamo Expert Team
SkillDynamo Expert Team
The SkillDynamo Expert Team delivers practical training across Splunk Enterprise, Splunk Cloud, Enterprise Security, IT Service Intelligence, SOAR, Observability Cloud, application development, data administration, analytics, and distributed architecture.
- Instructor demonstrations and hands-on exercises
- Search, configuration, integration, security, testing, and troubleshooting guidance
- Version-aware delivery, documentation, governance, and operational practices
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