Overview
If you’re ready to take your Power BI knowledge to the next level, this advanced level Power BI is the course for you! This course covers some of the lesser known, but more advanced features inside the Power BI toolbox.
Course Description & Learning Outcomes
This 3-day course really takes a deep dive into advanced level skills. Starting with how the languages of R and M can be used to extend the standard data extraction and transformation capabilities of Power BI. Participants will then understand complex data modelling scenarios and how Power BI can overcome them. Participants will also learn about several advanced data visualisation techniques that can take their reports and dashboards beyond the basics. LEARNING OBJECTIVES Architect an up-to-date “Business Intelligence (BI)” solution in their organisation Connect any type of data to MS Power BI Apply advanced “Extract, Transform, and Load (ETL)” to build data models in MS Power BI Select and use specialist ETL tools to support and automate data flows into MS Power BI Apply information design concepts to create objective-orientated BI solutions Select and execute appropriate visualisations within MS Power BI Create a dashboard to explore data and answer queries using MS Power BI Run advanced analytics using the DAX language and supporting Python scripts Publish tailored and secure BI solutions to stakeholders using MS Power BI Distribute and integrate MS Power BI outputs within other tools and platforms
Recommended Prerequisites
Participants should have attended the course Data Analytics Using Power BI.
Schedule
End Date: 08 Mar 2024, Friday
Location: 60 Stamford Road, Level 4, 178900
Pricing
Speakers
Trainer's Profile:
Samuel Cammiss, Adjunct Lecturer, Singapore Management University
Samuel Cammiss is a service and business designer with a strong data science background. His work focuses on the area of innovation and transformation, blending technology, data, and design to create new value and growth. The digital transformation of financial services is a key theme of this work, with examples including the leverage of process automation and predictive analytics to optimise performance, developing omnichannel customer experiences, and reinforcing risk management through the adoption of RiskTech. Samuel brings a diverse array of perspectives to his work, with spells as Innovation Director at Deloitte, Startup Founder, Head of Data and Technology at Mindshare-WPP, Director of Transformation at NCS-Singtel, Policy Economist at SQW and Trainer at the Singapore Management University and the National University of Singapore.
