ACCREDITATION & CERTIFICATION FOR ANALYTICS PROFESSIONALS

Peer reviewed professional accreditation, mapped to the European Data Science Framework and recognised by leading global organisations across the industry. Validate your skills, knowledge and experience with Professional Accreditation from the Analytics Institute of Ireland.

Accredited professionals are listed on the Analytics Institute Register of Professionals.

APPLICATION PROCESS
  • Choose the certification you wish to apply for
  • Map your knowledge and skills to the Framework Requirements
  • Complete the Application Form
  • Upload supporting documentation
  • Pay a one-off certification fee of €200.00 +VAT (€246)
  • Certification Committee will adjudicate on your application
  • Your Certification will be presented to you at next Analytics Institute Event.
  • You will be listed as a Certified Professional on our Professional Register.

ACCREDITATION THAT MAKES SENSE

Our certification is mapped to the Edison Framework (EDSF).

The Europe-wide project by the European Commission, works to establish an agreed Data Science Framework, breaking down the complexity of the skills and competences needed to define Data Science as a professional practice.

You can read more about our framework here.

PROFESSIONAL ACCREDITATION AWARDS

Business Data Analysts use data analysis tools and techniques to inform strategic business decisions. The role can be described as a hybrid between Data Analyst and Business Analyst.

  • Develop data analytics applications.
  • Use Data Mining software and tools to address the in-scope business problems.
  • Identify, investigate and correct inconsistencies related to model development.
  • Determine the best mix of analytical techniques to achieve the best outcomes.

A Data Analyst is someone who scrutinises information using data analysis tools. The meaningful results they pull from the raw data helps their employers or clients make important decisions by identifying various facts and trends.

  • Determine how to apply analytics to in-scope business problems.
  • Use Data Mining software and tools.
  • Develop better visualisation tools, applications and dashboards for statistics.

An Applications Engineer is an individual that designs, develops and tests software applications. They work throughout the software development life cycle in supporting application design, analysis, development and testing processes. They coordinate and help in product development by focusing on application development from both user and technical standpoints.

  • Be familiar with agile programming techniques and their applications.
  • Develop effective pipeline for data preparation and preprocessing.
  • Define/Build/optimise Data Models and schemas to support the development of enterprise grade Data centric applications.

Data Engineers develop and implement strategies and tools for the collection, storage and visualisation of data from varied sources making them available for further analytical processing.

  • Develop effective pipeline for data preparation and preprocessing.
  • Develop better visualisation tools, applications and dashboards for statistics.
  • Define, Build, and Optimise Data ETL processes from a variety of source.

Data Scientists take large amounts of data (unstructured and structured) and use their skills in maths, statistics and programming to organise them. Then they apply all their analytic powers – industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover hidden solutions to business challenges. To qualify you must possess a Bachelor’s Degree in a statistics, computer science or engineering related field.

  • Conduct undirected research and frame open-ended industry questions.
  • Extract huge volumes of data from multiple internal and external sources.
  • Devise data-driven solutions to the most pressing challenges.
  • Invent new algorithms to solve problems and build new tools to automate work.
How does the certification process work?

If you believe you already have the requisite skills and experience to qualify as a professional in your chosen field, you can register for certification and upload evidence of your experience and qualifications (Degrees, Diplomas, Curriculum Vitae, LinkedIn profile, Employers References) to our Certifications Committee for review.

If you’re not yet ready for certification, we have identified a learning path of online courses with Coursera®, which is mapped to our requirements for qualification.

Should you choose to expand your skills and knowledge with Coursera® or with alternative methods, you can return to us, once your training is complete and submit your application to our Certification Committee for review.

How long does it take?

Our certification committee sit at the end of each month. Fully complete applications for certifications will be reviewed at that meeting. Candidates will be informed shortly thereafter. You can expect to hear back from us within six weeks

Is the Certification an Academic Qualification?

No. Analytics Institute qualifications are based on the Edison Data Science Framework and are Professional Qualifications. They are not designed either to be considered as academic qualifications or to replace them. Analytics Institute qualifications are industry supported.

Does my the Certification Fee include the online training?

No. The Certification Fee includes assessment, the award of the Qualification and listing on our Professional Register, once qualified.

What is the Edison Framework?

The Edison Consortium includes industry and academic organisations from across Europe. The core consortium includes members from the University of Southampton, the University of Stavanger, the University of Amsterdam, the EGI Foundation, the Research Institute for Telecommunication and Cooperation and Inmark Europa.

The EDISON Data Science Framework is a collection of documents that define the Data Science profession. Freely available, these documents have been developed to guide educators and trainers, employers and managers, and Data Scientists themselves. This collection of documents collectively breakdown the complexity of the skills and competences need to define Data Science as a professional practice.

The Analytics Institute has based our qualifications on the Edison Framework.

Who is on the Qualifications Committee?

Our Qualification Committee includes senior experts from our Industry Advisory Council including Pfizer, Aon, EY, Microsoft, IBM and Novartis.

What is the Analytics Institute?

The Analytics Institute exists to support the Data Science and Analytics sector. We do this by providing a platform for our members to share insights and expertise, to collaborate and build networks in the industry and to foster innovation in the sector. We are fully supported in our mission by leading organisations in the public and private sectors.

Corporate member organisations can ensure their staff are kept fully up to date on new developments in the sector by attending our monthly Continuous Professional Development events. They also have access to analytics training programmes designed around members specific training requirements. We host quarterly networking events and user groups so that analytics professionals can make new friends and build contacts in the industry. Our annual National Analytics Conference is the key industry event of the year.