The Analytics Institute Data Science Framework has been developed to support, guide and ultimately accelerate the education process of fit-for-purpose Data Science Professionals.
The Framework sets out to break down the complexity of the skills and competencies needed to define Data Science as a professional practice.
It is important for professionals and employers to be able to map and define the attributes, skills and knowledge that are essential to professional excellence in data science and where they interface and how they interact.
The Data Science Framework brings together these elements into one cohesive model - defining the skills, knowledge items and competences required for each level of professional competence
Employed in a professional capacity which partly or wholly compasses data collection, preparation, cleansing and analysis. Creates reports and communicates results.
Minimum 1-years professional experience in data analytics or related area.
Bachelor level or post graduate qualification in STEM or related subject area.
Critical Thinking, Innovation
& Problem Solving
Agile Project Delivery
Communicating with Impact
Data Preparation & Cleaning
Data Analysis & Visualization
with MS-Excel
Data Challenge
+
Employed in a professional capacity which wholly encompasses leveraging data analysis tools to support decision making in the organisation.
Undertakes complex project work with multivariate data. Minimum 2-years professional experience in data analytics or related area.
Bachelor level or post graduate qualification in STEM or related subject area.
Innovation & Design Thinking
Teamwork & Collaboration
Stakeholder Management
Data Analysis & Visualization
with MS-Power BI
Building Beautiful Data Dashboards
Data Challenge
+
Employed in an expert capacity (such as Data Scientist / Data Architect / Data Engineer) and / or leads data teams. Broad and deep technical expertise.
Minimum 5-years professional experience in data analytics or related area.
Bachelor level or post graduate qualification in STEM or related subject area and a post-graduate qualification in data analytics or related area.
Leading Continuous Innovation
Team Leading & Coaching Skills
Data Leadership & Strategy Development
Python Primer
Python for AI & Machine Learning
Predictive Analytics
Big Data Technologies
Data Challenge
+
Employed as part of the senior management group. Employs data to support decision making at a strategic level. Manages the data function across the organisation.
Acts as champion of a data driven culture. Upholds ethical data practices.
Bachelor level or post graduate qualification in STEM or related subject area and a Master level qualification in data analytics or related area. Post graduate qualification in management or related area.
Strategic Data Leadership
Enabling a Culture of Innovation
Data Governance
Data-Driven Decision Making
Data Ethics & Digital Maturity
Data Platforms & Technologies
+
The Analytics Institute Data Science Framework has been developed to support, guide and ultimately accelerate the education process of fit-for-purpose Data Science Professionals.
The Framework sets out to break down the complexity of the skills and competencies needed to define Data Science as a professional practice.
It is important for professionals and employers to be able to map and define the attributes, skills and knowledge that are essential to professional excellence in data science and where they interface and how they interact.
The Data Science Framework brings together these elements into one cohesive model - defining the skills, knowledge items and competences required for each level of professional competence
Choose a level:
Certified Data Practitioner
Certified Data Professional
Certified Data Expert
Certified Data Leader
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