Certified Data Analyst

Applicants must have a minimum of two years experience in analytics or a related area in addition to the following criteria:

Skills

Knowledge

Applicants must have confidence in at least one skillset under each heading:

Analytics


R
IBM SPSS
SAS

Visualisation


Tableau
Spotfilre
Qlik
PowerBl
SAS Visual Analytics

Languages


Python

Techniques & Methods


Machine Learning
Predictive Modelling

Analytics


R
IBM SPSS
SAS

Visualisation


Tableau
Spotfilre
Qlik
PowerBl
SAS Visual Analytics

Languages


Python

Techniques & Methods


Machine Learning
Predictive Modelling


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Applicants must be able to demonstrate some capability in the following areas:

Use appropriate data analytics and statistical techniques on available data to discover new relations and deliver insights into research problem or organizational processes and support decision-making.Effectively use variety of data analytics techniques, such as Machine Learning (including supervised, unsupervised, semisupervised learning), Data Mining, Prescriptive and Predictive Analytics, for complex data analysis through the whole Business Analytics lifecycle.

Apply designated quantitative techniques, including statistics, time series analysis, optimization, and simulation to deploy appropriate models for analysis and prediction.

Visualise results of data analysis, design dashboard and use storytelling methods.

Understand and use different performance and accuracy metrics for model validation in analytics projects, hypothesis testing, and information retrieval in line with the Business Analytics Lifecycle.Develop required data analytics for organizational tasks, integrate data analytics and processing applications into organization workflow and business processes to enable agile decision making (Stage 5&6 of the Business Analytics Lifecycle).

Identify, extract, and pull together available and pertinent heterogeneous data, including modern data sources such as social media data, open data, governmental data.

Use appropriate data analytics and statistical techniques on available data to discover new relations and deliver insights into research problem or organizational processes and support decision-making.Effectively use variety of data analytics techniques, such as Machine Learning (including supervised, unsupervised, semisupervised learning), Data Mining, Prescriptive and Predictive Analytics, for complex data analysis through the whole Business Analytics lifecycle.

Apply designated quantitative techniques, including statistics, time series analysis, optimization, and simulation to deploy appropriate models for analysis and prediction.

Visualise results of data analysis, design dashboard and use storytelling methods.

Understand and use different performance and accuracy metrics for model validation in analytics projects, hypothesis testing, and information retrieval in line with the Business Analytics Lifecycle.Develop required data analytics for organizational tasks, integrate data analytics and processing applications into organization workflow and business processes to enable agile decision making (Stage 5&6 of the Business Analytics Lifecycle).

Identify, extract, and pull together available and pertinent heterogeneous data, including modern data sources such as social media data, open data, governmental data.


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Apply for Certification

If your skills, knowledge and experience meet the minimum requirements as set out in the framework, you can apply today to be assessed for certification.

Our certification committee meets to assess applicants on a regular basis. You should expect to hear from us within six weeks of applying.

Click Register Now and complete an online application form, uploading the required evidence:

  • CV.
  • LinkedIn Profile.
  • Certificates of Education (Degrees/Diploma).
  • Any Project Work details you wish to include to support your application.

Not yet ready for Certification?

If you’ve decided you’re not ready for certification, we’ve outlined a programme of online learning with Coursera© to get you there. Mapped to our framework, these courses will give you the necessary skills to complete certification in your chosen area of expertise. Coursera© courses can be completed in your own time and typically cost €49.

Simply choose the courses that fill the gaps in your knowledge. Once completed, you can return and register for certification, uploading your Coursera© certificates to support your application.

European Data Science Framework

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

A Europe-wide project to establish the necessary skills and define Data Science as a professional practice across the continent.

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Not yet ready for Certification?

If you’ve decided you’re not ready for certification, we’ve outlined a programme of online learning with Coursera© to get you there. Mapped to our framework, these courses will give you the necessary skills to complete certification in your chosen area of expertise. Coursera© courses can be completed in your own time and typically cost €49.

Simply choose the courses that fill the gaps in your knowledge. Once completed, you can return and register for certification, uploading your Coursera© certificates to support your application.

Coursera

Fundamentals of Visualization with Tableau

Commitment:

4 weeks of study, 3-5 hours/week.

Coursera

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

Commitment:

4 weeks of study, 1-3 hours/week.

Coursera

Predictive Modeling and Analytics

Commitment:

4-weeks, on demand video and reading.

Coursera

Introduction to Data Analysis Using Excel

Commitment:

4 weeks of study, 1-3 hours/week.

Coursera

Bayesian Statistics: From Concept to Data Analysis.

Commitment:

Four weeks of study, two-five hours/week.

Coursera

Python for Data Science

Commitment:

5 weeks, on-demand video and reading.

Coursera

Machine Learning: Classification

Commitment:

7 weeks of study, 5-8 hours/week.

Coursera

Machine Learning: Clustering & Retrieval

Commitment:

6 weeks of study, 5-8 hours/week

Industry Advisory Council: Certification Group

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Ireland

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Managing Director: Lorcan Malone


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