Splunk Query Language and Data Analysis Fundamentals — PickAClass
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★ 4.5 (2) ⏱ 3h 📚 30 lessons

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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About this course

Machine-generated data contains a wealth of information, but extracting value requires specific querying skills to navigate through high-volume logs. This course introduces you to the core mechanics of searching and analyzing data to improve operational visibility and system performance. You will move from being unfamiliar with machine data to confidently writing queries that filter, transform, and summarize information for various business and technical needs. What you'll learn: - Understand the fundamentals of machine data and basic search syntax - Learn core search commands to filter and retrieve specific log events efficiently - Apply transformation commands to calculate statistics and summarize large datasets - Create custom fields and use lookups to enrich raw data with external context - Practice modern observability techniques by correlating events across different data sources - Understand basic security log analysis to identify patterns and potential anomalies The course begins with foundational terminology and basic search logic before progressing to practical data manipulation and advanced statistical functions. You will read through detailed explanations and practice your skills with written query exercises designed for real-world scenarios. This course is designed for beginners in data analysis, IT operations, or cybersecurity; no prior experience with Splunk is required. Start building your data analysis skills through clear, written instruction and practical examples.

Course contents

6 modules · 30 lessons · 3h

1 Getting Started with Machine Data
Understand what machine data is and how Splunk organizes it. 5 lessons · 30 min
  1. What is Machine Data?
    Machine data is the digital footprint left by systems, and it's full of untapped value.    6 min
  2. The Splunk Ecosystem
    Splunk collects, indexes, and visualizes data in real-time.    6 min
  3. Key Terminology: Index, Source, Sourcetype
    Understanding how Splunk categorizes data is crucial for finding it later.    6 min
  4. Navigating the Search Interface
    A tour of the Search & Reporting app where you'll spend most of your time.    6 min
  5. 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. 5 lessons · 30 min
  1. The Anatomy of a Splunk Search
    Every search follows a specific logic: terms, operators, and commands.    6 min
  2. Filtering with Keywords and Wildcards
    Using wildcards like '*' to find variations of terms.    6 min
  3. Using Boolean Operators (AND, OR, NOT)
    Combining terms to narrow down or broaden your results.    6 min
  4. Searching by Time Ranges
    Time is the most important dimension in machine data.    6 min
  5. 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. 5 lessons · 30 min
  1. Introduction to the Pipe Operator
    The pipe character '|' passes results from one command to the next.    6 min
  2. The 'top' and 'rare' Commands
    Quickly finding the most common or least common values in your data.    6 min
  3. Calculating Statistics with 'stats'
    Using 'stats count' to aggregate data based on specific fields.    6 min
  4. Summarizing Data with 'timechart'
    Creating time-based summaries to see trends over hours or days.    6 min
  5. 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. 5 lessons · 30 min
  1. Understanding Fields in Splunk
    Fields are name-value pairs that give structure to raw logs.    6 min
  2. Creating Custom Fields with 'eval'
    The 'eval' command lets you calculate new field values on the fly.    6 min
  3. Renaming and Formatting Fields
    Using 'rename' and 'table' to make your results readable for others.    6 min
  4. Introduction to Lookups
    Lookups map data in your logs to external data sources like CSVs.    6 min
  5. 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. 5 lessons · 30 min
  1. What is Observability?
    Moving from 'is it up?' to 'why is it slow?' using data.    6 min
  2. Correlating Events using IDs
    Linking a web request to a database error using a unique ID.    6 min
  3. Using the 'transaction' Command
    Grouping related events into a single transaction for duration analysis.    6 min
  4. Joining Data from Different Sources
    Using 'join' or 'append' to combine disparate datasets.    6 min
  5. 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. 5 lessons · 30 min
  1. Basics of Security Log Analysis
    Key security logs to watch: Authentication, Firewall, and DNS.    6 min
  2. Identifying Failed Login Patterns
    Detecting brute force attempts by counting failures per user.    6 min
  3. Detecting Anomalies in Traffic
    Finding 'outliers'—events that deviate from the normal baseline.    6 min
  4. Building a Security Alert Logic
    Defining the threshold for when a pattern becomes an alert.    6 min
  5. Final Review: Real-world Scenarios
    Walking through a complete investigation from search to summary.    6 min
Final project

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

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ 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.

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PickAClass
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Splunk Query Language and Data Analysis Fundamentals
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
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1.9 hrs
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PickAClass — Name Surname
Splunk Query Language and Data Analysis Fundamentals
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (2)

عصام بن خالد TN Verified learner
★ 5 · November 5, 2026

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

مريم خالد AE
★ 4 · July 14, 2026

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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