Course title

Fundamentals of Business Analytics

Code

MST 220

Professor

Assoc. Prof. Violeta Cvetkoska

·         understand the power of data and to find opportunity in the numbers that can be used to generate competitive advantage;

·         understand how managers /decision makers use data and business analytics in order to solve business problems they face in the organizations, and to make better decisions;

·         use a variety of analytical methods and techniques in business decision making, and

·         use Excel, Excel add-ins and software tools to visualize data and to solve real complex business problems.

The aim of this course is to prepare students with the right skills to make data-driven decisions and to lead in analytics-driven organizations. They will work on real data sets and extensively will use software tools. Topics include the types of business analytics: descriptive, prescriptive and predictive. The emphasis of the course will be on interpretation and communication of the obtained results from different types of models.

• Overview of business analytics;
• Exploring and visualizing data;
• Descriptive statistical measures;
• Probability and probability distributions;
• Linear regression;
• Forecasting techniques; 
• Data mining;
• Spreadsheet modeling and analysis;
• Simulation modeling;
• Optimization modeling and
• Decision analysis