Today’s business environment is all about leveraging data to make decisions. This program prepares students for data-driven business communications, project management, and analyses with the goal of driving ethical and effective actions. They’ll start with a real-world problem, determine what data to collect, manipulate and interpret the data, create visualizations, and ultimately be able to tell a data-informed story to both technical and non-technical audiences that drives business impact.
All Rize MBA Specialization Programs, including Business Analytics, are designed to be taken in any order as to create maximum flexibility when it comes to adoption. These courses do not stack. Depending on your MBA program requirements, all students must complete the 3-4 courses below.
Storytelling is one of the oldest and most powerful tools for action, and this course empowers MBA students to transform raw data into compelling narratives that drive business decisions. By the end of this course, you’ll be able to create data queries and visualizations, integrate data into business planning, and effectively communicate your findings, helping organizations turn data into a strategic tool for competition and innovation.
Spreadsheet tools are the most universal and easily accessible program for most people to use and interpret data—and a vital skill for any analyst to know. In this course, students will learn data cleaning, financial modeling, optimization, and data visualization using PivotTables and PivotCharts, enabling students to analyze complex datasets, create forecasts, and effectively communicate insights to support data-driven decision-making in business contexts.
This course is designed to introduce MBA students to the fundamentals of Python programming with a special focus on its application in business analytics. By the end of this course, students will learn how to set up a Python environment, manipulate and analyze data using NumPy and Pandas, and create visualizations with Matplotlib to drive business decisions.
AI projects can help predict trends and optimize operations, allowing businesses to understand not just what has happened but what will happen—and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impact by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.