Overview

The advanced course on Data Analytics and Business Intelligence with Power BI has been designed to equip professionals and executives from diverse fields—including management, finance, economics, accounting, and data science—with the analytical capabilities required to harness the power of data in a corporate setting. By providing hands-on training in Power BI, this course enables participants to transform raw data into actionable insights, fostering a culture of data-driven decision-making within organisations.

For companies adopting the NEXUS solutions, investing in upskilling their workforce in data analytics is not just an advantage—it is a necessity. The integration of innovative platforms with trained professionals ensures that organizations can maximize the value of data, optimize logistics processes, and gain a competitive edge in an increasingly digitalized market.

By aligning technological advancement with skill development, the NEXUS agenda not only drives innovation but also empowers businesses with the expertise needed to thrive in a data-centric world.

Learning Outcomes

• Define Business Intelligence and describe the related concepts, theories, and methodologies.
• Identify and select tools, software, and technologies used in BI.
• Apply advanced analytical tools and techniques.
• Communicate and visualize data insights effectively through dashboards and reports.
• Solve complex business problems through data driven decision making processes.
• Integrate and optimize BI tools and technologies to enhance organizational performance.

Content

Business Intelligence Fundamentals

• Concepts, theories, and methodologies of BI.
• BI in organizational strategy and performance.
• BI tools, software, and technologies.

Business Intelligence Process

• ETL (Extraction, Transformation, and Loading) process.
• Data transformation process into information.
• Data communication and visualization.

Data driven decision making

• Data modelling and introduction to decision support systems.

Advanced analytical tools and techniques

• Statistical tools and machine learning in BI.
• Utilisation of DAX functions for trend analysis and variations.