Badge Overview

Business Analytics  Business Analytics

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Business Analytics

Business Analytics

Issued by Hood College

Badge Description

Offered through The George B. Delaplaine Jr. School of Business at Hood College, this badge provides a comprehensive introduction to business analytics and data science for managers. In this course, learners will delve into key mathematical concepts, such as algebra, basic calculus, differentiation, vectors, matrices, and linear programming, while simultaneously exploring foundational statistical methods, including frequency distributions, measures of central tendency, elementary probability, hypothesis testing, non-parametric methods, linear regression, correlation, and analysis of variance. The course emphasizes the practical application of these concepts and techniques in managerial decision-making processes across various fields, equipping managers with the skills to effectively analyze data and make informed decisions.

Skills Analytical Thinking Statistical Modeling Forecasting & Planning Quantitative Business Management Makes Data-Driven Decisions

Badge Criteria

This FOUNDATIONAL l level badge is equivalent to a 3-credit, master's level course. Earning a grade of B or better is required for this badge.

1. Demonstrate Proficiency in Foundational Statistical Methods: Apply descriptive and inferential statistics, probability theory and hypothesis testing to business data. 2. Model Complex Business Problems: Formulate, analyze and solve decision problems using frameworks such as linear programming, network modeling or forecasting models. 3. Leverage Analytical Tools for Data Interpretation: Use Excel, statistical software or similar applications to collect, visualize, interpret and communicate analytical results effectively. 4. Create Evidence-Based Recommendations: Synthesize analytic findings to support or challenge strategic decisions in operations, finance and other business functions. 5. Integrate Ethical and Professional Standards: Adhere to legal and ethical practices in data collection, analysis and dissemination. Demonstrate professionalism in presenting findings to diverse stakeholders. 6. Manage Projects and Inventory Efficiently: Apply project management principles and inventory theory to optimize resources, minimize risk and support data-driven organizational improvements. 7. Engage in Continuous Learning and Collaboration: Participate in discussions, peer evaluations and reflective activities that encourage lifelong analytical curiosity and professional growth.

Aligned Outcomes