Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

2025-04-14

Dubai

2025-05-12

London

2025-06-02

Dubai

2025-06-02

Amsterdam

2025-06-02

Barcelona

2025-06-02

Singapore

2025-06-02

Paris

2025-06-02

Kuala Lumpur

2025-06-02

Istanbul

2025-07-14

London

2025-08-11

Dubai

2025-09-01

Kuala Lumpur

2025-09-01

Amsterdam

2025-09-01

Barcelona

2025-09-01

Paris

2025-09-01

Istanbul

2025-09-01

Singapore

2025-09-01

London

2025-10-13

Dubai

2025-11-10

London

2025-12-01

Kuala Lumpur

2025-12-01

Istanbul

2025-12-01

Singapore

2025-12-01

Paris

2025-12-01

Dubai

2025-12-01

Barcelona

2025-12-01

Amsterdam

Course Details

  • Introduction
  • Objective
  • Who should attend

 

The world is becoming more and more data-driven, with endless amounts of data available to work with. Big companies like Google and Microsoft use data to make decisions, but they’re not the only ones.

 

Data analysis is used also by small businesses, retail companies, in medicine, and even in the world of sports. It’s a universal language and more important than ever before. It seems like an advanced concept but data analysis is really just a few ideas put into practice.

 

Data analysis is important in business to understand problems facing an organisation, and to explore data in meaningful ways.  Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data.

 

The main purpose of the Data Analysis Fundamentals training course is to give the attendees a practical knowledge and good understanding of real-world data analysis . The course includes data analysis process, visualisations, data sharing, and creating professional and easy to understand dashboards.

 

Course Outline

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

 

Introduction to data analysis solutions
 
  • Recognize the Value of Using Data to Answer Questions and Address Business Issues

  • Explain How Data Has Become the Strategic Business Asset It Is Today

  • Data analytics and data analysis concepts

  • Introduction to the challenges of data analytics

  • Volume – data storage

  • Introduction to Amazon S3

  • Introduction to data lakes

  • Introduction to data storage methods

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