Course Info

Date:

2026-06-01

Length:

5 Days

Type:

In Classroom

Fees:

£ 4590

City:

Hong Kong
Available DatesVenue
2026-03-02Hong Kong
2026-09-14Hong Kong
2026-12-14Hong Kong
Available DatesOther Venue
2025-08-11Dubai
2025-09-01Istanbul
2025-09-01Amsterdam
2025-09-01Barcelona
2025-09-01Paris
2025-09-01Kuala Lumpur
2025-09-01Singapore
2025-09-01London
2025-10-13Dubai
2025-11-10London
2025-12-01Singapore
2025-12-01Kuala Lumpur
2025-12-01Istanbul
2025-12-01Dubai
2025-12-01Paris
2025-12-01Barcelona
2025-12-01Amsterdam
2026-01-12London
2026-02-09Dubai
2026-03-02London
2026-03-02Barcelona
2026-03-02Singapore
2026-03-02Amsterdam
2026-03-02Kuala Lumpur
2026-03-02Paris
2026-03-02Istanbul
2026-04-13Dubai
2026-05-11London
2026-06-01Singapore
2026-06-01Amsterdam
2026-06-01Barcelona
2026-06-01Paris
2026-06-01Istanbul
2026-06-01Dubai
2026-06-01Kuala Lumpur
2026-07-13London
2026-08-03Dubai
2026-09-14Istanbul
2026-09-14Barcelona
2026-09-14Singapore
2026-09-14Amsterdam
2026-09-14London
2026-09-14Paris
2026-09-14Kuala Lumpur
2026-10-12Dubai
2026-11-02London
2026-12-14Barcelona
2026-12-14Singapore
2026-12-14Amsterdam
2026-12-14Paris
2026-12-14Istanbul
2026-12-14Kuala Lumpur
2026-12-14Dubai

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Data is Everywhere, But Can You Trust It, Use It, and Understand It?

In this data-saturated era, it’s no longer enough to just collect data—you need to learn to refine it, to organize it, and to turn it into usable insights that generate real results. If you want to create a rock-solid foundation in modern data analysis, this course is where you start.


Data Analysis Essentials, offered by LPC Training, is a 5-day comprehensive course that will help you acquire the ability to manage the complete data journey from raw data gathering to effective interpretation. Through the hands-on training methodology, you will learn about the five V’s of big data (Volume, Velocity, Variety, Value, and Veracity), how to manage structured and unstructured data, and experience efficient tools like Python, Pandas, Amazon S3, Power BI, and more.


You will become adept at processing, cleaning, and formatting data sources, maintaining data integrity, and gaining experience in the implementation of analytical structures and reporting software. This course emphasizes the ETL procedures' practical implementation, BI methodologies, and base data transformation techniques so that you can deal with data problems in practice.



Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Data Analysis Solutions

  

  • Recognizing the value of using data in a business context
  • Data analytics and data analysis concepts
  • Understanding data analytics challenges
  • Describing the 5 V’s of big data:
  • Volume 
  • Velocity
  • Variety 
  • Value 
  • Veracity 
  • Discussing the importance of managing and storing large data volumes
  • Exploring various data storage methods
  • Introduction to big data storage solutions:
  • Amazons S3
  • Data lakes


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