Data Analytics: Techniques for Decision Making (Certificate)

Data-driven decision-making is critical for organizations aiming to stay competitive in today’s fast-paced environment. The Certificate in Data Analytics: Techniques for Decision Making equips professionals with the analytical, technical, and communication skills to transform raw data into actionable insights.

With more than 450 hours of online evening study across eight months, the program blends applied statistics, data modeling, and visualization practices with hands-on projects. Participants will learn to build dashboards, design data pipelines, and present findings that directly support strategic decisions.

Meet Your Instructors

• Prof. Anthony Wallace, MSc in Business Analytics – Specialist in dashboard design, KPI tracking, and applied analytics.

• Dr. Karen Liu, PhD in Statistics – Expert in statistical reasoning, predictive modeling, and decision sciences.

• Prof. Daniel Ortiz, MSc in Data Engineering – Consultant in data pipelines, visualization tools, and cloud-based analytics solutions.

Program Structure – Modules

• Module 1: Foundations of Data Analytics and Statistical Reasoning

• Module 2: Data Modeling, Pipelines, and Processing Tools

• Module 3: Data Visualization and Dashboard Development

• Module 4: Communicating Insights and Storytelling with Data

• Module 5: Applied Projects in Analytics for Decision Making

• Module 6: Capstone Project – Building an End-to-End Analytics Solution

What you will learn

• Build professional dashboards and reports that support business decisions

• Apply statistical reasoning and data modeling to real-world data

• Work with data pipelines and industry-standard visualization tools

• Communicate insights effectively to stakeholders and leadership teams

• Develop practical expertise through case studies and capstone projects

How you will benefit

• Gain in-demand skills for roles in data analytics, BI, and decision sciences

• Build a portfolio of dashboards, reports, and analytics projects

• Enhance employability in positions such as Data Analyst, BI Specialist, or Analytics Consultant

• Strengthen your ability to combine technical and communication skills for organizational impact

How the course is taught

• 100% online, evening schedule designed for working professionals

• 450+ hours of structured coursework, assignments, and projects

• Includes instructor-led sessions, case studies, and a capstone project

• Completed in approximately eight months