Coding for Analysis ▸
Syracuse University micro-credential*
Intro to Data Decision-Making Using AI ▸
Syracuse University micro-credential*
Information Systems for Analysis ▸
Syracuse University micro-credential*
Project Management ▸
Syracuse University micro-credential*
*A focused credential that demonstrates mastery in a specific skill.
Instructor
Dylan Burrows
dburrows@golisanoinstitute.org
Instructor
Nicole Coppola
ncoppola@golisanoinstitute.org
Intro to Business Analytics
Understand the importance of numerical competency in business by applying math concepts to relevant business decision-making, including the foundations of statistics, as a baseline for subsequent courses. This course is specifically designed to run in conjunction with the Business Technology course, also in Quarter 1, and includes integrated assignments between the two courses for reinforcement of concepts and business applications.
Core Topics
- Data Collection
- One-Variable Data
- Bivariate Data
- Financial Data
- Sampling Distributions
- Inference for Proportions
- Inference for Means
- Regression Analysis
Learning Outcomes and Career Relevance
- Apply concepts of data collection, experimentation, and bias to inform decisions in various business context.
- Analyze datasets by utilizing statistical software, describing data distributions and relationships, and applying statistical inference techniques in the context of business.
- Analyze and resolve complex business problems by applying mathematical reasoning and statistically sound solutions.
- Effectively communicate statistical and probabilistic concepts to a diverse audience.