This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!
Splunk Query Language and Data Analysis Fundamentals
Master the essentials of Splunk Query Language to transform raw machine data into actionable insights for IT operations and security monitoring.
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In English
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About this course
Course contents
6 modules · 30 lessons · 3h
1
Getting Started with Machine Data
Understand what machine data is and how Splunk organizes it.
- What is Machine Data?
Machine data is the digital footprint left by systems, and it's full of untapped value.6 min - The Splunk Ecosystem
Splunk collects, indexes, and visualizes data in real-time.6 min - Key Terminology: Index, Source, Sourcetype
Understanding how Splunk categorizes data is crucial for finding it later.6 min - Navigating the Search Interface
A tour of the Search & Reporting app where you'll spend most of your time.6 min - Your First Search Query
Writing a simple keyword search to see raw events.6 min
2
Mastering Search Syntax and Filtering
Learn to retrieve specific logs efficiently using basic syntax.
- The Anatomy of a Splunk Search
Every search follows a specific logic: terms, operators, and commands.6 min - Filtering with Keywords and Wildcards
Using wildcards like '*' to find variations of terms.6 min - Using Boolean Operators (AND, OR, NOT)
Combining terms to narrow down or broaden your results.6 min - Searching by Time Ranges
Time is the most important dimension in machine data.6 min - Efficient Retrieval: Best Practices
Filtering as early as possible saves time and system resources.6 min
3
Transforming Data into Insights
Use transformation commands to turn logs into statistics.
- Introduction to the Pipe Operator
The pipe character '|' passes results from one command to the next.6 min - The 'top' and 'rare' Commands
Quickly finding the most common or least common values in your data.6 min - Calculating Statistics with 'stats'
Using 'stats count' to aggregate data based on specific fields.6 min - Summarizing Data with 'timechart'
Creating time-based summaries to see trends over hours or days.6 min - Advanced Statistical Functions
Using avg, sum, and dc (distinct count) for deeper analysis.6 min
4
Data Enrichment and Customization
Create custom fields and add external context to your logs.
- Understanding Fields in Splunk
Fields are name-value pairs that give structure to raw logs.6 min - Creating Custom Fields with 'eval'
The 'eval' command lets you calculate new field values on the fly.6 min - Renaming and Formatting Fields
Using 'rename' and 'table' to make your results readable for others.6 min - Introduction to Lookups
Lookups map data in your logs to external data sources like CSVs.6 min - Enriching Logs with External Context
Adding user names or department info to IP addresses using lookups.6 min
5
Observability and Event Correlation
Learn to connect the dots between different data sources.
- What is Observability?
Moving from 'is it up?' to 'why is it slow?' using data.6 min - Correlating Events using IDs
Linking a web request to a database error using a unique ID.6 min - Using the 'transaction' Command
Grouping related events into a single transaction for duration analysis.6 min - Joining Data from Different Sources
Using 'join' or 'append' to combine disparate datasets.6 min - Visualizing System Performance
Turning correlated data into a visual dashboard for visibility.6 min
6
Security Analysis and Pattern Detection
Apply your skills to identify security threats and anomalies.
- Basics of Security Log Analysis
Key security logs to watch: Authentication, Firewall, and DNS.6 min - Identifying Failed Login Patterns
Detecting brute force attempts by counting failures per user.6 min - Detecting Anomalies in Traffic
Finding 'outliers'—events that deviate from the normal baseline.6 min - Building a Security Alert Logic
Defining the threshold for when a pattern becomes an alert.6 min - Final Review: Real-world Scenarios
Walking through a complete investigation from search to summary.6 min
The Operational & Security Insight Report
You will be given a raw dataset containing web logs and security events. Your task is to write a single multi-stage query that filters out noise, enriches the data with a lookup table, correlates login attempts with web activity, and identifies a specific security anomaly.
What you'll get
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Certificate of completion
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Personal AI tutor
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Lifetime access
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Phone or computer
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14-day refund
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Short & focused
3h 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.
Reviews (2)
Solid content and presented clearly. I appreciated the real-world applications shown. Could have used a few more practice opportunities.
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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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