Splunk for Analytics & Data Science (English)

Deze Partnercursus cursus hebben we niet meer in ons assortiment maar nog wel andere cursussen, bijvoorbeeld:

Er zijn geen gerelateerde cursussen.

Kunnen wij je helpen?

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.

Voorkennis

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

Splunk Core Certified User
Splunk Power User Fast Start
Splunk Advanced Power User Fast Start
Advanced Searching & Reporting

Or the following single-subject courses:

What is Splunk?
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
Introduction to Knowledge Objects
Creating Field Extractions
Search Optimization

Dejan de Gooijer

accountmanager

Onderwerpen

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 – Exploratory Data Analysis
- Describe the purpose of data exploration
- Identify SPL commands for data exploration
- Split data for testing and training using the sample command
Topic 3 – Predict Numeric Fields with Regression
- Differentiate predictions from estimates
- Identify prediction algorithms and assumptions
- Describe the fit and apply commands
- Model numeric predictions in the MLTK and Splunk Enterprise
- Use the score command to evaluate models
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, and NPR, TF-IDF,
- HashingVectorizer and the cluster command

Topic 5 – Cluster Data
- 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 – Anomaly Detection
- 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
- Optimize anomaly detection with the Local Outlier Factor
- View results with the Distribution Plot visualization
Topic 7 – Estimation and Prediction
- Differentiate predictions from forecasts
- Use the Smart Forecasting Assistant
- Use the StateSpaceForecast algorithm
- Forecast multivariate data
- Account for periodicity in each time series

Planning & Prijs

Gerelateerde cursussen

Er zijn geen gerelateerde cursussen.

Ervaringen

ervaringen verzameld via

"Training was prima, goede tips gekregen met af en toe een grap en grol. Locatie was prima, goed verzogd vwb koffie/thee, fruit en koekje. Mensen ook zeer vriendelijk. Lunch was perfect en zeer uitgebreid."

9

"De cursus was goed, en de verzorging ook!Ik heb er veel van opgestoken! De lokatie in Nieuwegein is goed te bereiken met het openbaar vervoer, dus dat is prettig. Tot een volgenden keer."

10

"Ik vond de training erg leerzaam. De inhoud was van een hoog niveau en de docent was goed thuis in de materie. Ik stel het vooral op prijs dat er diep op de concepten werd ingegaan."

9

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Onderwerpen

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