Business analytics Lessons from an undergraduate introductory course

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Presentation transcript:

Business analytics Lessons from an undergraduate introductory course Tobin turner Presbyterian College

Business analytics Business analytics is the practice of iterative, methodical exploration of an organization's data with emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision making.

Business analytics Business analytics is the practice of iterative, methodical exploration of an organization's data with emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision making.

Teaching considerations Statistics, Probability, Math Statistics Algorithms Probability and Stochastic Process Principles of Database Systems Data Visualization Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Computational Statistics Machine Learning Data Mining Game Theory

Teaching considerations Statistics, Probability, Math Statistics Algorithms Probability and Stochastic Process Principles of Database Systems Data Visualization Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Computational Statistics Machine Learning Data Mining Game Theory Programming Depth vs Breadth Theory Vs. Practice r, python, - the good and the bad JMP The 0.32344*** Problem

Teaching considerations Statistics, Probability, Math Statistics Algorithms Probability and Stochastic Process Principles of Database Systems Data Visualization Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Computational Statistics Machine Learning Data Mining Game Theory Programming Depth vs Breadth Theory Vs. Practice r, python, - the good and the bad JMP The 0.32344*** Problem Communication, Interpretation & “Practice” Capstone Project in Data Science Independent Study in Data Science

https://ep.jhu.edu/programs-and-courses/programs/data-science

Teaching considerations Statistics, Probability, Math Statistics Algorithms Probability and Stochastic Process Principles of Database Systems Data Visualization Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Computational Statistics Machine Learning Data Mining Game Theory Programming Depth vs Breadth Theory Vs. Practice r, python, - the good and the bad JMP The 0.32344*** Problem Communication, Interpretation & “Practice” Capstone Project in Data Science Independent Study in Data Science

Teaching considerations Statistics, Probability, Math Statistics Algorithms Probability and Stochastic Process Principles of Database Systems Data Visualization Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Computational Statistics Machine Learning Data Mining Game Theory Programming Depth vs Breadth Theory Vs. Practice r, python, - the good and the bad JMP The 0.32344*** Problem Communication, Interpretation & “Practice” Capstone Project in Data Science Independent Study in Data Science