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WSQ - Mastering Elasticsearch and Kibana for Real Time Data Analysis

Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Big Data Analysis
TSC Code
BPM-PST-3001-1.1

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Review data requirements and load relevant data into Elasticsearch platform
  • LO2: Cleanse and transform data using Elasticsearch by ensuring quality to meet analytical requirements.
  • LO3: Resolve data preparation issues and create analytical reports using Kibana.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Mastering Elasticsearch and Kibana for Real Time Data Analysis

Course Code: TGS-2025052344
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

1 Review(s) | Add Your Review

What's This Course About

The WSQ Mastering Elasticsearch and Kibana for Real Time Data Analysis course is designed to empower participants with the skills to manage and analyze large datasets using the Elastic Stack. Learners will explore data ingestion techniques, including index and document management, setting up clusters, and sharding for scalability. Participants will gain hands-on experience with querying, batching, and importing data into Elasticsearch, ensuring readiness for analytical workflows.

This course also covers data transformation and visualization using Elasticsearch and Kibana. Participants will learn how to cleanse, transform, and map data to meet analytical quality requirements, perform aggregations, and create compelling visualizations and dashboards. With a focus on real-world applications, learners will use Kibana to generate business and technical reports, troubleshoot data preparation issues, and deliver actionable insights from big datasets.

WSQ Funding

Full Fee $1,000.00 Before GST
GST $90.00 9% of fee
Baseline Nett $590.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $390.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025052344)
  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us. 

Course FeeBefore Funding

$1,000.00 (GST-exclusive)
$1,090.00 (GST-inclusive)

Course Date

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Introduction of Elastic Stack

Introduction to Elasticsearch

Overview of the Elastic Stack

Walkthrough of common architectures

Elasticsearch vs OpenSearch

Elasticsearch & Kibana on Elastic Cloud

Setting up Elasticsearch & Kibana (macOS, Linux, Windows)

Topic 2: Cluster Architecture 

Basic architecture overview

Cluster inspection

Querying with cURL

Sharding, replication, and scalability

Adding nodes to the cluster

Node roles

Topic 3: Indexing & Document Management

Creating & deleting indices

Indexing, updating, replacing, and deleting documents

Scripted updates & upserts

Understanding routing and versioning

Concurrency control

Batch processing

Importing data with cURL

Topic 4: Mappings & Analysis 

Introduction to analysis and mapping

Data types, field coercion, and arrays

Dot notation in field names

Mapping parameters, dynamic mapping, and templates

Custom analyzers, analyzers for search, and built-in analyzers

Working with synonyms, stop words, and tokenizers

Topic 5: Searching & Queries 

Term-level queries (term, range, prefix, wildcard, regex, field existence)

Full-text queries (match, multi-field search, phrase queries)

Compound queries (boolean logic, disjunction max, nested queries)

Parent-child relationships

Pagination, sorting, and result filtering

Topic 6: Aggregations

Metric aggregations (count, sum, average, min, max)

Bucket aggregations (range, histograms, filters)

Nested aggregations

Aggregating nested objects

Handling missing field values

Topic 7: Data Visualization with Kibana 

Overview of Kibana

Data Visualization

Dashboard

Assessment

  • Written Exam
  • Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Analyst
  • Data Scientist
  • Elasticsearch Developer
  • Business Intelligence Analyst
  • Data Engineer
  • Analytics Consultant
  • Big Data Specialist
  • IT Systems Analyst
  • Database Administrator
  • Backend Developer
  • Solutions Architect
  • Cloud Data Engineer
  • Search Engine Specialist
  • Machine Learning Engineer
  • Technical Support Engineer
  • Cybersecurity Analyst
  • Full Stack Developer
  • Data Integration Specialist
  • Reporting Analyst
  • Operations Analyst

Review

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