Course Info

Date:

2025-09-01

Length:

5 Days

Type:

In Classroom

Fees:

£ 4250

City:

London
Available DatesVenue
2025-11-10London
Available DatesOther Venue
2025-08-11Dubai
2025-09-01Singapore
2025-09-01Amsterdam
2025-09-01Kuala Lumpur
2025-09-01Istanbul
2025-09-01Barcelona
2025-09-01Paris
2025-10-13Dubai
2025-12-01Amsterdam
2025-12-01Barcelona
2025-12-01Paris
2025-12-01Istanbul
2025-12-01Kuala Lumpur
2025-12-01Singapore
2025-12-01Dubai

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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