By the end of this course, learners will be able to analyze large datasets using Splunk’s statistical commands, transform raw events into meaningful metrics, build time-based and categorical visualizations, and correlate related events to uncover operational insights. Learners will also be able to apply conditional logic, enhance dashboards with advanced visualizations, and interpret trends and geographic patterns using Splunk.
您将学到什么
Analyze large datasets using Splunk statistical commands to derive meaningful metrics and trends.
Build time-based, categorical, and advanced visualizations to communicate operational insights clearly
Correlate events and apply conditional logic to uncover patterns, anomalies, and geographic insights.
您将获得的技能
要了解的详细信息

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February 2026
16 项作业
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该课程共有4个模块
This module introduces learners to Splunk’s statistical analysis capabilities by exploring the stats command and its core aggregation functions, enabling effective data summarization and insight extraction from large datasets.
涵盖的内容
6个视频4个作业
This module focuses on transforming aggregated data into visual insights using Splunk’s chart and timechart commands, helping learners design effective visualizations for categorical and time-series analysis.
涵盖的内容
9个视频4个作业
This module explores advanced visualization techniques in Splunk, including scatter plots, gauges, trend lines, totals, and geographical maps, to enhance analytical depth and dashboard effectiveness.
涵盖的内容
8个视频4个作业
This module covers advanced data transformation and event correlation techniques in Splunk, enabling learners to manipulate fields, apply conditional logic, and correlate related events for deeper operational insights.
涵盖的内容
10个视频4个作业
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