Intellectual Point

Elastic Certified Analyst

Learning Objectives

  • Searching Data
  • Visualizing Data
  • Analyzing Data

Course Schedule

Session 1:

Searching Data

  • Define an index pattern with or without a Time Filter field
  • Set the time filter to a specified date or time range
  • Use the Kibana Query Language (KQL) in the search bar to display only documents that match a specified criteria
  • Create and pin a filter based on a search criteria
  • Apply a search criteria to a visualization or dashboard

Visualizing Data

  • Create a Metric or Gauge visualization that displays a value satisfying a given criteria
  • Create a Lens visualization that satisfies a given criteria
  • Create an Area, Line, Pie, Vertical Bar or Horizontal Bar visualization that satisfies a given criteria
  • Split a visualization using sub-bucket aggregations
  • Create a visualization that computes a moving average, derivative, or serial diff aggregation
  • Customize the format and colors of a line chart or bar chart
  • Using geo data, create an Elastic map that satisfies a given criteria
  • Create a visualization using the Time Series Visual Builder (TSVB) that satisfies a given set of criteria
  • Define multiple line or bar charts on a single TSVB visualization
  • Create a chart that displays a filter ratio, moving average, or mathematical computation of two fields
  • Define a metric, gauge, table or Top N visualization in TSVB
  • Define a TSVB chart from the data of an ML job
  • Create a Tag Cloud visualization on a keyword field of an index
  • Create a Data Table visualization that satisfies a given criteria
  • Create a Markdown visualization
  • Define and use an Option List or Range Slider control
  • Create a Dashboard that consists of a collection of visualizations
Session 2:

Analyzing Data

  • Answer questions about a given dataset using search and visualizations
  • Use visualizations to find anomalies in a dataset
  • Define a single metric, multi-metric, or population Machine Learning job
  • Define and use a scripted field for an index
  • Define and use a Space in Kibana

Training program

Certified analysts are experts at using Kibana for both data visualization and analysis. From creating powerful dashboards to analyzing time-series data to developing machine learning jobs, they can do it all. The Elastic Certified Analyst exam tests your knowledge and skills in analyzing data using Kibana, including the ability to build visualizations and dashboards and detect anomalies of time-series data using machine learning.

Target Audience

The Elastic Certified Analyst exam tests your knowledge and skills in analyzing data using Kibana, including the ability to build visualizations and dashboards and detect anomalies of time-series data using machine learning.

 

Prerequisites

In preparation of the Elastic Certified Analyst exam, Elastic highly encourages candidates to attend the following training course:

  • Data Analysis with Kibana

Register For Class

Date

Location

August: 15, 16 - 9:00 AM - 5:00 PM Sterling, VA + Live Virtual Register
September: 12 & 13 - 9:00 AM - 5:00 PM Sterling, VA + Live Virtual Register
October: 17, 18 - 9:00 AM - 5:00 PM Sterling, VA + Live Virtual Register
November: 14 & 15 - 9:00 AM - 5:00 PM Sterling, VA + Live Virtual Register
December: 12 & 13 - 9:00 AM - 5:00 PM Sterling, VA + Live Virtual Register

Learning Objectives

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training

For details, call 1-888-843-8733

Technology

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An Elastic Certified Analyst Course at Intellectual Point Includes:
  • Live instructor-led training in modern classrooms
  • A thorough review of Elastic topics by industry experts
  • 24 x 7 access to the real labs in classrooms and remotely
  • 100% latest material & unlimited live hands-on labs & 600 practice questions
  • Confidence building hands-on training
  • Classroom located in Reston & conveniently accessible from Silver Line Metro
  • Study material, notes, videos, lab book, and practice questions included in the course price

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