Splunk for Analytics and Data Science (SADS)
- Tijdsduur
Splunk for Analytics and Data Science (SADS)
Opleiderscore:
Startdata en plaatsen
Fast Lane biedt haar producten standaard aan in de volgende regio's: Utrecht
Beschrijving
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, ma...
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.
Please note that this course may run over three days, with 4.5 hour sessions each day.
- Analytics Framework
- Regression for Prediction
- Cleaning and Preprocessing Data
- Algorithms, Preprocessing and Feature Extrac7tion
- Clustering D…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
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, ma...
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.
Please note that this course may run over three days, with 4.5 hour
sessions each day.
- Analytics Framework
- Regression for Prediction
- Cleaning and Preprocessing Data
- Algorithms, Preprocessing and Feature Extrac7tion
- Clustering Data
- Detecting Anomalies
- Forecasting
- Classification
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 algo...
Fast Lane werkt met Nederlandse trainers die didactische vaardigheden combineren met veel practische ervaring.
Blijf op de hoogte van nieuwe ervaringen
Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.