Splunk for Data Analysis and Visualization
Learn how to transform raw machine data into meaningful insights and create powerful dashboards using Splunk's analytical and visualization tools.
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In English
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About this course
Course contents
6 modules · 28 lessons · 3h 11m
1
Splunk Fundamentals and Architecture
Understand how Splunk works and how to get data into the system.
- What is Splunk?
Splunk is a platform for searching, monitoring, and analyzing machine-generated data.6 min - The Three Pillars: Indexers and Search Heads
Splunk architecture relies on Indexers for storage and Search Heads for user interaction.7 min - The Role of Forwarders
Forwarders are lightweight agents that collect and send data to the Indexers.6 min - Data Onboarding Methods
Learn how to upload files, monitor folders, and use network inputs to ingest data.8 min - Navigating the Splunk Web UI
A tour of the Search & Reporting app interface for new users.6 min
2
Mastering SPL Basics
Learn the core syntax of Search Processing Language for data extraction.
- The Search Bar and Time Pickers
Time is the most important dimension in Splunk searches.6 min - SPL Syntax Fundamentals
Understand the structure of a search: search terms, pipes, and commands.7 min - Filtering with Fields
Use specific fields (host, source, sourcetype) to narrow down search results.7 min - Boolean Logic in Splunk
Combine search terms using AND, OR, and NOT for precise extraction.6 min - Using Wildcards and Exact Phrases
Master flexible searching using the asterisk and quotation marks.6 min
3
Transforming Data into Insights
Use transforming commands to analyze and aggregate data.
- The Stats Command: Counting Events
The `stats count` command is the foundation of data aggregation.7 min - Calculating Averages and Sums
Use `avg`, `sum`, and `max/min` to analyze numerical data in logs.7 min - Sorting and Limiting Results
Organize data using `sort` and limit output with `head` or `tail` commands.6 min - Renaming Fields for Readability
Use the `rename` command to make technical field names user-friendly.6 min - Creating Clean Tables
The `table` command allows you to present only the data that matters.6 min
4
Visualizations and Interactive Dashboards
Turn raw search results into compelling visual stories.
- Creating Charts and Graphs
Transform statistical results into pie, bar, and column charts.7 min - Time-Series Analysis with Timechart
The `timechart` command visualizes how data trends change over time.8 min - Building Your First Dashboard
Combine multiple visualizations into a single, cohesive dashboard view.8 min - Adding Interactive Inputs
Add dropdowns and text boxes to allow users to filter dashboard data.8 min - Making Dashboards Dynamic
Use tokens to link user inputs directly to dashboard panel queries.7 min
5
Monitoring and Automation
Set up proactive monitoring through reports and alerts.
- Scheduling Automated Reports
Save searches to run automatically and deliver results on a schedule.7 min - Configuring Real-Time Alerts
Set up triggers that notify you immediately when specific conditions are met.7 min - Alert Actions and Notifications
Configure email notifications and script triggers for alert responses.6 min - Proactive Monitoring Strategies
Design a monitoring workflow to catch system issues before they escalate.7 min
6
Optimization and Real-World Application
Apply best practices to solve real problems efficiently.
- Search Optimization Best Practices
The 'Filter Early' rule and efficient field usage save time and resources.7 min - Improving Query Performance
Understand search modes (Fast vs. Verbose) and their impact on speed.6 min - Scenario: Analyzing Web Traffic Logs
Practice finding errors and traffic spikes in a real-world web dataset.8 min - Scenario: Troubleshooting System Errors
Use Splunk to correlate events and find the root cause of a system failure.8 min
Operational Health Command Center
You will build a complete Splunk application for a simulated e-commerce company. This includes ingesting web logs, creating a dynamic dashboard to track sales and errors, and setting up an alert for high latency.
What you'll get
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Certificate of completion
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Personal AI tutor
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Audio version included
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Lifetime access
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Phone or computer
Works anywhere, any device -
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14-day refund
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Short & focused
3h 11m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
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Introduction to Big Data and Modern Data Systems
Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We don’t store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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