Course Info

Date: Mar-03-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,980

Type: In Classroom

Available Dates

  • Mar-03-2025

    Kuala Lumpur

  • June-02-2025

    Kuala Lumpur

  • Sep-01-2025

    Kuala Lumpur

  • Dec-01-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-30-2024

    London

  • Dec-30-2024

    Istanbul

  • Jan-13-2025

    London

  • Jan-27-2025

    London

  • Feb-10-2025

    Dubai

  • Mar-03-2025

    London

  • Mar-03-2025

    Istanbul

  • Mar-03-2025

    Singapore

  • Mar-03-2025

    Paris

  • Mar-03-2025

    Barcelona

  • Mar-03-2025

    Amsterdam

  • Apr-14-2025

    Dubai

  • May-12-2025

    London

  • June-02-2025

    Barcelona

  • June-02-2025

    Istanbul

  • June-02-2025

    Amsterdam

  • June-02-2025

    Paris

  • June-02-2025

    Dubai

  • June-02-2025

    Singapore

  • July-14-2025

    London

  • Aug-11-2025

    Dubai

  • Sep-01-2025

    Paris

  • Sep-01-2025

    Amsterdam

  • Sep-01-2025

    Istanbul

  • Sep-01-2025

    Barcelona

  • Sep-01-2025

    Singapore

  • Sep-01-2025

    London

  • Oct-13-2025

    Dubai

  • Nov-10-2025

    London

  • Dec-01-2025

    Amsterdam

  • Dec-01-2025

    Singapore

  • Dec-01-2025

    Barcelona

  • Dec-01-2025

    Paris

  • Dec-01-2025

    Istanbul

  • Dec-01-2025

    Dubai

Course Details

Course Outline

5 days course

 

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


 

Velocity – data processing

 

  • Discover Usable Data: Its Source, Type, Value, Quality, Location, and Relationships

  • Profile the Data to Determine What Is Important or Relevant

  • Organize and Manage Data Appropriately

  • Acquire Data from Any Source

  • Introduction to data processing methods

  • Introduction to batch data processing

  • Introduction to stream data processing

 

Variety – data structure and types

 

  • Introduction to source data storage

  • Introduction to structured data stores

  • Introduction to semistructured and unstructured data stores

  • Identify and Resolve Problems Associated with Data Collection

  • Articulate the Pros and Cons of Data Manipulation

  • Determine If Data Samples Are Adequate

  • Create a Table That Is Ready to Be Analyzed

 

Value.  Reporting, business intelligence and Analyzing the Data
 
  • Introduction to analysing data

  • Introduction to visualizing data

  •  Understand Which Data-Analysis Tools Best Answer Common Analytical Business Questions

  • Articulate How the Microsoft® Excel Analysis ToolPak and Other Programs Can Be Used for Advanced Data Analysis

  • Choose the Appropriate Tool and Technique to Analyze Your Data

  • Putting the pieces together

 

Veracity – cleansing, transformation

 

  • Understanding data integrity

  • Understanding database consistency

  • Introduction to the ETL process

Course Video