Elastic N.V. (NYSE: ESTC), the company behind Elasticsearch and the
Elastic Stack, released an expanded version of its Kibana training
course in response to increased demand and new features. The Elastic
instructor-led course prepares technical or non-technical professionals,
data analysts, security analysts, operations analysts, DevOps and others
to harness Kibana to visualize, manage and analyze data in Elasticsearch.
This press release features multimedia. View the full release here:
Kibana dashboard (Graphic: Business Wire)
Starting with the fundamentals, Elastic instructors will guide
participants through the core concepts of data analysis using Kibana —
from simple aggregation-based charts to complex time-series
visualizations. No prior knowledge of Kibana or the Elastic
Stack is required.
By the end of these lectures, labs and Q&A sessions, Kibana course
participants come away with the knowledge to easily find answers and
anomalies with data in Elasticsearch.
Participants learn how to create visualizations and dashboards across a
variety of data sets. Students keep course materials to continue
learning on their own, and they become empowered to manage Kibana by
creating users, roles and spaces.
Data Analyst course, redesigned from the ground up, now includes
twice the hours of training and builds on Elastic’s former 8-hour
Kibana course is available now and includes 16 hours of live,
instructor-led training in a virtual setting. Corporate teams, now for
the first time, can also request a private
Kibana training course taught by an Elastic instructor at the
convenience of their worksite — eliminating the time and expense
associated with travel.
Elastic is constantly refreshing and adding new courses to our portfolio
offerings. These include a series on becoming an “Elastic
Certified Engineer,” in addition to highly focused and specialized
training courses on “I
didn’t know it could do that,” and so much more.
Elastic is a search company. As the creators of the Elastic Stack
(Elasticsearch, Kibana, Beats, and Logstash), Elastic builds
self-managed and SaaS offerings that make data usable in real time and
at scale for use cases like application search, site search, enterprise
search, logging, APM, metrics, security, business analytics, and many
Elastic and associated marks are trademarks or registered
trademarks of Elastic N.V. and its subsidiaries. All other company and
product names may be trademarks of their respective owners.