Catalyze impactful change in your organization with our institute's in-depth workshop on data analytics. Designed with a focus on practical application, this IIBA®-endorsed workshop aims to equip participants with a comprehensive understanding of the transformative role of data analytics in modern decision-making processes. Participants will learn to formulate data-driven questions that align with their organization's objectives, identify suitable data sources, and analyze large datasets using advanced Excel techniques. In addition, participants in this workshop will acquire the skills needed to create compelling data visualizations that can be used to present data-driven insights.
Course Methodology
This workshop uses Excel for analyzing complex datasets. Participants will collaborate on analyzing a real-world business case and will be expected to present their data-driven insights in a simulated board meeting.
Course Objectives
By the end of the course, participants will be able to:
Evaluate the role of data analytics in improving organizational decision making
Formulate data-driven analytical questions tied to business objectives
Identify suitable data sources and ensure the accuracy of collected information
Analyze large datasets using advanced Excel techniques
Create effective data visualizations and present data-driven insights to stakeholders
Target Audience
Analysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision making capabilities based on data-driven insights
Target Competencies
Analytical thinking
Sourcing data
Validating data
Structuring data
Analyzing data
Data visualization
Note
This workshop includes practical exercises using Microsoft Excel. Participants are required to bring their own laptops equipped with this software for the duration of the workshop. This workshop is worth 30 Professional Development Units (PDUs).
Course Outline
Data Analytics and Organizational Decision Making
The objective of data analytics
The role of the data analyst
Data analytics as a set of activities
Data analytics as a decision-making paradigm
Data analytics as a set of practices and technologies