Data Analytics for Business Intelligence with PowerBI

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Course overview

Level: Intermediate
Study period: 16 weeks
Author: AIAT
Evaluation:
Self-Assessment/Projects
Rich learning experiences:
300-400 hours

In today’s data-driven world, organizations rely on powerful analytics to make informed decisions and gain a competitive edge. Data Analytics for Business Intelligence with Power BI is a hands-on course designed to help professionals harness the power of data visualization, reporting, and business intelligence using Microsoft Power BI. This course covers essential data analytics concepts, including data modeling, dashboard creation, and real-time insights. Participants will learn how to collect, clean, and analyze data, transforming raw information into compelling visual stories that drive strategic decision-making. Topics include Power BI fundamentals, DAX functions, interactive reporting, and best practices for data-driven insights. Through real-world case studies, practical exercises, and step-by-step guidance, learners will develop the skills to build dynamic dashboards, uncover trends, and present data effectively. By the end of the course, participants will be equipped to leverage Power BI to optimize business performance and drive smarter decision-making.

This course is ideal for business professionals, analysts, managers, and decision-makers looking to enhance their data analytics skills and leverage Power BI for business intelligence.

Master Power BI for data visualization and reporting

Build interactive dashboards and real-time analytics solutions

Apply data modeling and DAX functions for deeper insights

Transform raw data into actionable business intelligence

Enhance decision-making with data-driven strategies

Our Facilitator

Dr. Murli Viswanathan

Prof. Murli has a PhD in Computer Science from Monash University and a BS in Computer Science & Information Systems from Deakin University. Prof. Murli worked with Carnegie Mellon University for 16 years before Joining AIAT where he is the Director of IT programs. He lectures students in AI, Machine Learning, Analytics, Big Data, Software Engineering, and other areas. He has managed/coordinated over two dozen student projects with the South Australian Government departments and industry partners. Prof. Murli is a senior member of the Australian Computer Society Accenture Subject Matter Expert in Analytics. He has substantial experience with research projects, course and curriculum design and has delivered a variety of courses at all levels in information systems and computer science since 1996.