The Splunk Platform

SPLK-ANDATSC : Splunk for Analytics and Data Science

Course Duration

3 Days

Delivery

ILT VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk's statistics, machine learning, built-in and custom visualization capabilities.

What You'll Learn

Analytics Framework
Regression for Prediction
Cleaning and Preprocessing and Feature Extraction
Algorithms, Preprocessing and Feature Extraction
Clustering Data
Detecting Anomalies
Forecasting
Classification

Who Should Attend

Splunk Administrator
Developer
User
Knowledge Manager
Architect

Prerequisites

To be successful, students should have a solid understanding of the following courses:

Intro to Splunk
Using Fields
Scheduling Reports and Alerts
Visualizations
Working with Time
Statistical Processing
Comparing Values
Result Modification
Leveraging Lookups and Sub-searches
Correlation Analysis
Search Under the Hood
Intro to Knowledge Objects
Creating Field Extractions
Search Optimization
Exploring and Analyzing Data with Splunk

Learning Journey

Coming Soon...

Topic 1 – Analytics Workflow

Define terms related to analytics and data science
Describe the analytics workflow
Describe common usage scenarios
Navigate Splunk Machine Learning Toolkit

Topic 2 – Training and Testing Models

Split data for testing and training using the sample command
Describe the fit and apply commands
Use the score command to evaluate models

Topic 3 – Regression: Predict Numerical Values

Differentiate predictions from estimates
Identify prediction algorithms and assumptions
Model numeric predictions in the MLTK and Splunk Enterprise

Topic 4– Clean and Preprocess the Data

Define preprocessing and describe its purpose
Describe algorithms that preprocess data for use in models
Use FieldSelector to choose relevant fields
Use PCA and ICA to reduce dimensionality
Normalize data with StandardScaler and RobustScaler
Preprocess text using Imputer, NPR, TF-IDF, and HashingVectorizer

Topic 5– Clustering

Define Clustering
Identify clustering methods, algorithms, and use cases
Use Smart Clustering Assistant to cluster data
Evaluate clusters using silhouette score
Validate cluster coherence
Describe clustering best practices

Topic 6 – Forecasting Fields

Differentiate predictions from forecasts
Use the Smart Forecasting Assistant
Use the StateSpaceForecast algorithm
Forecast multivariate data
Account for periodicity in each time series

Topic 7 – Detect Anomalies

Define anomaly detection and outliers
Identify anomaly detection use cases
Use Splunk Machine Learning Toolkit Smart Outlier Assistant
Detect anomalies using the Density Function algorithm
View results with the Distribution Plot visualization

Topic 8 – Classify: Predict Categorical Values

Define key classification terms
Identify when to use different classification algorithms
Evaluate classifier tradeoffs
Evaluate results of multiple algorithms

Frequently Asked Questions (FAQs)

Why get Splunk certified?

Splunk certifications validate your expertise in data analytics and your proficiency in using the Splunk platform.
These certifications demonstrate your ability to leverage Splunk's powerful tools for data collection, analysis, and visualization, making you a valuable asset to organizations seeking to gain actionable insights from their data.
Splunk-certified professionals are in high demand across various industries, including IT, security, and business analytics.
What to expect for the examination?

Splunk offers a variety of certification exams at different levels, covering various domains and products within the Splunk platform.
Exams typically consist of multiple-choice and scenario-based questions that assess your knowledge and skills in using Splunk to solve real-world problems.
Note: Certification requirements and policies may be updated by Splunk from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.
How long is Splunk certification valid for?

All Splunk certifications are valid for three years from the date of passing the highest-level certification exam.
To maintain your certification, you will need to recertify before it expires. You have three options for recertification:
- Pursue a higher-level certification (including any required prerequisite courses), in which case your lower-level certifications would also be renewed on the date of passing the next-level certification exam.
- Retake a certification exam within the final year of their recertification window to renew their certifications at that level (and any applicable downstream certifications).
- Complete continuing education courses at any point in the three year recertification window beginning the date of badge issuance.
Note: Certification requirements and policies may be updated by Splunk from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.
Why take this course with Trainocate?

Here’s what sets us apart:
- Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).
- Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.
- Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.
- Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.
- Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.
- Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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