Data Analyst Program

Why the certification is relevant

Every organisation needs a Data Analyst cleaning the data, performing data analysis and presenting information with clear and meaningful visualisations. The role also entails discovering patterns in data and providing insights that may require further attention from statisticians and machine learning engineers.

Whilst we have smart machine learning algorithms that can analyse and interpret data, producing content for dashboards and printable reports. There is a growing demand for “interpretation of data,” which machines have not fully mastered as yet.

The Data Analyst Program including Individual Performance Coaching is offered as a 5 days training program and is designed and certified by the Global University Alliance.

Focus of the Data Analyst

There is an increasing rate of change in business and technology within the context of data usage, creation and analytics. The focus of the Data Analyst is that they work with data to help their organisations make better business decisions. Therefore, the Data Analyst role is uniquely designed to meet the needs of today to instill new cross-functional skills that support organisations to bridge the gap between data usage and data insight.

Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, Data Analysts draw conclusions from data to describe, predict, and improve business performance. They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis.

The Data Analyst Program can be integrated into any relevant organisation. It does so by adding theory, practice and modelling capabilities to the practitioner’s skill set.

Individual Performance Coaching

It is only through coaching and building on the participant’s existing knowledge that capabilities are gained and applied.

Individual Performance Coaching is an integrated element of the Data Analyst education and training program to ensure that the frameworks, methods, approaches, and modelling principles are customized, adopted and applied in a real-world project setting with a personalized action plan.

The participant will discover how to drive forth fundamental changes within their organization and to achieve the objectives set in both innovation and transformation projects.

Upon successful completion of this program, you will become a certified Data Analyst.

The individual registration fee of €9,800 Euro (excl. VAT) covers tuition, handouts, case materials and conference facilities. Travel and accommodations is not included.

Important to note is that the Data Analyst Program requires input from interested parties as the programs are tailed to each individual, team or organization and is customized with planned dates and location.

The program includes:

  • 5 days of classroom training
  • Individual Performance Coaching
  • 1 Data Analyst Certificate

To request a customized or closed program, or if you have questions about registration or multi-attendee discounts, please contact us.

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Who Should Attend

The Data Analyst Program is designed for professionals with 3+ years of business and/or IT experience:

  • Specialists: Data Mining Specialist, Data Analyst, Data Operator, Data Processor, Data Modeller, Data Technician, Data Steward, Data Entry, Visual Information Specialist, Application Programmer, Application Developer, Application Engineer, Data Method Specialist, Application Technical specialist.
  • Consultants: Data Consultant, IT Consultant, Application Consultant and System Consultant.
  • Architects: Data Architect, Application Architect, Information Architect, Solution Architect, Enterprise Architect and Virtual Infrastructure Architect.
  • Managers: Data Manager, Information System Manager, Application Manager, Network Manager, Application Support Manager, Application Administrator and Project Manager.
  • Directors: Data Owner, Information Owner, Application Owner, LoB Director and LoB Owner.

Enterprise Standards Used

The following standards are the typical sets of standards that a Data Analyst uses:

OMG (Software Standards):

  • BPMN – Business Process Modelling Notations
  • CMMN – Case Management Modelling Notations
  • DMN – Decision Modelling Notations

LEADing Practice (Enterprise Standards):

  • Emerging & Disruptive Data Forces & Trends
  • Data Ontology
  • Data Taxonomy
  • Data Classification & Categorisation
  • Data Artefacts
  • Data Modelling Notations (DaMN)
  • Data Lifecycle
  • Data Meta Model

Others:

  • Open Group Business Architecture
  • IEEE Process Engineering standards
  • ISO 42010 Systems & Software Engineering
  • ITIL 3 (IT delivery concept)
  • COBIT (Governance)

Learning Model

Theories Practitioners will learn

  • Capture forces and disruptive data trends

  • Understand data strategies

  • Map data capabilities

  • Data management

  • Analyse data performance

What Practitioners will work with in Practice

  • Work with stakeholders, business and IT owners

  • Benchmark data performance

  • Data Model development

  • Data Model design

  • Develop data guidelines

Modelling capabilities Practitioners will gain

  • Stakeholder Map development

  • Data Requirement Map development

  • Develop Data Strategy Maps

  • Define Data Capability Maps

  • Create Data & Information Object Maps