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B U S I N E S S A N A LY T I C S L E S S O N S F R O M A N U N D E R G R A D U AT E INTRODUCTORY COURSE TO B I N T U R N E R 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 Programming Statistics Depth vs Breadth Algorithms Theory Vs. Practice Probability and Stochastic Process r, python, - the good and the bad Principles of Database Systems JMP Data Visualization The 0.32344*** Problem Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Interpretation Communication, Computational Statistics & “Practice” Machine Learning Capstone Project in Data Science Data Mining Independent Study in Data Science Game Theory Independent Study in Data Science https://ep.jhu.edu/programs-and-courses/programs/data-science TEACHING CONSIDERATIONS Statistics, Probability, Math Programming Statistics Depth vs Breadth Algorithms Theory Vs. Practice Probability and Stochastic Process r, python, - the good and the bad Principles of Database Systems JMP Data Visualization The 0.32344*** Problem Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Interpretation Communication, Computational Statistics & “Practice” Machine Learning Capstone Project in Data Science Data Mining Independent Study in Data Science Game Theory Independent Study in Data Science TEACHING CONSIDERATIONS Statistics, Probability, Math Programming Statistics Depth vs Breadth Algorithms Theory Vs. Practice Probability and Stochastic Process r, python, - the good and the bad Principles of Database Systems JMP Data Visualization The 0.32344*** Problem Statistical Methods and Data Analysis Introduction to Optimization Statistical Models and Regression Interpretation Communication, Computational Statistics & “Practice” Machine Learning Capstone Project in Data Science Data Mining Independent Study in Data Science Game Theory Independent Study in Data Science
