Data Management Fundamentals
A beginner data fundamentals course for data analysts and data management professionals.
This course helps organisations equip their entry-level data professionals, such as data analysts, with a common understanding of how to work with and manage data.
Offered as a private, in-house course, material can be contextualised to your organisation’s particular needs.
What will your people learn?
- Basic data management principles: From the Data Management Body of Knowledge (DMBoK v2), and the relevance of applying an international standard to working with and on data.
- Understand data types and formats: A complete overview of common data types, both structured (tabular) and unstructured (such as images).
- Evaluate data quality issues: Data is never perfect. Students will gain an understanding of likely data quality issues and how to deal with them through a data governance lens.
- Prepare and clean data: Data cleaning can occupy up to 80% of data projects. Students will learn how to deal with data anomalies, outliers, missing data, duplicate data, categorisation, and data errors.
- Use foundational data analysis tools and techniques: Including probability/descriptive statistics that can be applied to understand data; inferential statistics to draw conclusions and make predictions; and machine learning (linear regression [in-depth] and logistic regression and decision trees [high level]).
- Select the right data analysis tools: Students spend half a day covering common tools for editing (dealing with large data files), spreadsheets (such as Microsoft Excel), programming languages (Python, R, SAS, SQL), visual tools (Power BI, RapidMiner, Tableau), database formats and data modelling tools.
ENQUIRE now
- In-person
- Virtual
- 3 days
- Ask us about tailoring this course for your organisation. Delivery can be in-person or virtual.
Our credentials
- One of only four Registered Education Providers with DAMA International, and the only training institute based in the Asia-Pacific region.
- We've been training data professionals for over 10 years, equipping thousands of students.
- Master level trainers: Our Practice Leads are CDMP Certified and subject matter experts in data management and data science.
- Our data management consulting business has operated for 17 years and contributed to some of Australia’s biggest data management projects across seven capital cities.
Learn from the experts
Lloyd Robinson | CDMP Master
Lloyd is a global authority on the practical development of data management implementation, and has contributed to the Data Management Body of Knowledge (DMBoK v2). He is a published author, presenter and trainer and actively contributes to advancing the data management profession. Lloyd has overseen and executed many enterprise-scale data management projects: across four continents, over 38 years, and spanning the financial services, utilities, government and education industries. He has implemented well over $1Bn of change. He is a strategic shaper of large-scale data management change initiatives, in the role of strategist, architect or governance facilitator.
Andrew Madry
Andrew is a data science specialist with a rich technical background that spans developing sonar systems for the Royal Australian Navy, to creating technology for a Sydney hospital to treat abnormal heart rhythms. A consultant since 2001, Andrew continues to provide technical services to the Department of Defence and has worked on numerous data projects to create and implement analytic techniques to resolve problems. He is experienced in providing custom analytics training based on years of industry experience. Andrew holds a current NV1 security clearance.
