Catalyze impactful change in your organization with our institute's in-depth course on data analytics. Designed with a focus on practical application, this IIBA®-endorsed…
Catalyze impactful change in your organization with our institute's in-depth course on data analytics. Designed with a focus on practical application, this IIBA®-endorsed course 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 course will acquire the skills needed to create compelling data visualizations that can be used to present data-driven insights.
Course Methodology
This course 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 course 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
Framing the Data Analytics Approach
Identifying the real issue
Establishing key metrics
Understanding the problem
Using logic trees
Using the prioritization matrix
Sourcing Data
Data sources
Gathering quantitative data
Using qualitative data
Benchmarking
Conducting informational interviews
Validating data
Analyzing Data
Preprocessing data
Exploratory data analysis
Statistical data analysis
Prescriptive analysis
Predictive analysis
Introduction to machine learning
Communicating Data-Driven Results
Principles of data visualization
Creating compelling data visualizations
Understanding stakeholder needs
Presenting data-driven insights
Telling the story behind the data
Schedule & Fees
2026 Schedule & Fees
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.