Home AI Courses Splunk Search Expert Specialization

Splunk Search Expert Specialization

(0 reviews)

Learn to write efficient queries, perform correlations, create visualizations, and leverage sub-searches and lookups to become a Search Expert.

Key AI Functions:Business Intelligence,Data Science,Big Data,Data Analysis,Business Analytics

Description

Reviews

Alternative Tools

Description for Splunk Search Expert Specialization

Become a Search Expert by mastering the art of writing efficient queries and performing correlations.

Utilize search to generate visualizations and capitalize on subsearches and lookups.

Expert 101, 102, and 103. The course illustrates the process of utilizing machine data to generate actionable reports and analytics.

Acquire the necessary skills to begin the process of generating valuable insights for your organization from machine data.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Splunk Inc.

Duration: 1 month at 10 hours a week

Schedule: Flexible

Reviews for Splunk Search Expert Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

ML Algorithms: Supervised Learning Tip to Tail

Structuring Machine Learning Projects

Alternative Tools for Splunk Search Expert Specialization

Featured Tools

Artifical Intellegience (AI)

Understand the fundamentals of AI and utilize Python programming to address practical AI challenges.

#intelligent agent #machine learning

Gain comprehensive knowledge of ML pipelines, model persistence, Spark applications, data engineering, and hands-on experience with Spark SQL and SparkML for regression, classification, and clustering.

#Machine Learning #Machine Learning Pipelines

ML Algorithms: Supervised Learning Tip to Tail

This course concentrates on the fundamentals of machine learning, including decision trees, k-nearest neighbors, and support vector machines. It addresses data preparation and production challenges and requires a rudimentary understanding of Python, linear algebra, and statistics.

#Machine Learning #Supervised Learning

Structuring Machine Learning Projects

Gain the skills and industry experience needed to lead successful machine learning projects and advance your career in AI.

#Decision-Making #Machine Learning

Digital Health Specialization

Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.

#Digital Health #machine learning

Compare & Review AI Tool Directory AI Course Marketplace