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This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, data mining, Monte Carlo simulation, and linear and nonlinear optimizations.

Note: This course was previously BA-728 | Business Analytics.

Prerequisites: BUS 598

This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, data mining, Monte Carlo simulation, and linear and nonlinear optimizations.

Prerequisites: BUS 598

This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, data mining, Monte Carlo simulation, and linear and nonlinear optimizations.

Note: This course was previously BA-728 | Business Analytics.

Prerequisites: BUS 598

Storytelling is one of the oldest and most powerful tools for action, and this course empowers 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.

Storytelling is one of the oldest and most powerful tools for action, and this course empowers 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.

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.

Managers who hope to stay competitive in business analytics need to be able to scale their analytics—and Python provides that solution. This course covers Python's significance in business analytics, setting up the Python environment, and learning basic syntax. You’ll leverage three of Python's essential libraries—NumPy for numerical data, Pandas for data manipulation, and Matplotlib for data visualization—to use data to solve complex business problems.

Prerequisites: BA-620

Managers who hope to stay competitive in business analytics need to be able to scale their analytics—and Python provides that solution. This course covers Python's significance in business analytics, setting up the Python environment, and learning basic syntax. You’ll leverage three of Python's essential libraries—NumPy for numerical data, Pandas for data manipulation, and Matplotlib for data visualization—to use data to solve complex business problems.

Prerequisites: BA-620

Managers who hope to stay competitive in business analytics need to be able to scale their analytics—and Python provides that solution. This course covers Python's significance in business analytics, setting up the Python environment, and learning basic syntax. You’ll leverage three of Python's essential libraries—NumPy for numerical data, Pandas for data manipulation, and Matplotlib for data visualization—to use data to solve complex business problems.

Prerequisites: BA-600 or BA-620 recommended