Description
CPA Members only
CPA Australia has partnered with the Corporate Finance Institute (CFI) to curate a collection of data and digital courses exclusively for CPA members. CFI courses have an emphasis on hands-on, practical learning and skills acquisition. They teach in-demand industry practices, tools and techniques that help accounting and finance professionals build confidence, stand out from the competition, and make a positive impact on their careers.
In this course, you will receive comprehensive training to enhance your skills in organising and linking data within Tableau, enabling you to create sophisticated and polished models. Throughout the course, you will gain expertise in merging data through joins, relationships, and blends, effectively incorporating relevant information into your visualisations. By actively engaging in a practical business scenario, you will encounter evolving requirements that necessitate continuous expansion of your data model, while also discovering new techniques for joining, relating, and blending data, troubleshooting common issues, and optimising performance. Ultimately, this course will empower you to adopt a more meticulous approach to data structuring, make informed decisions about connection types, and maximise the performance of your dataset.
We encourage you to review CFI’s specific technical requirements.
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Your satisfactory completion of the training module may be recorded against your CPD hours.
CFI programs will be supplied to CPA Australia members as standalone courses for 12 months from the date of purchase and as such, any associated CFI certifications are not able to be supplied. Refunds or extensions for purchases of CFI courses will only be available in exceptional circumstances and will be based on CPA Australia and CFI’s cancellation terms.
Learning objectives
- Build a basic data model using Tableau’s relationship feature
- Optimise data model relationships using performance tuning
- Differentiate between joins, relationships, and blends
- Adapt a data model based on an expanding set of requirements
- Apply knowledge to common cases such as nulls, many-to-many relationships, one-to-one relationships, and filtering
- Explain how ETL tools can make life easier to create an optimal Star Schema
Audience
This course is suitable for professionals who have a solid understanding of data analysis and want to expand their skill set to include basic data engineering in Tableau.