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

3. 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.

4. 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.

5. 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

6. 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 *** Problem

7. 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 *** Problem
Communication, Interpretation
& “Practice”
Capstone Project in Data Science
Independent Study in Data Science

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

9. 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 *** Problem
Communication, Interpretation
& “Practice”
Capstone Project in Data Science
Independent Study in Data Science

10. 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 *** Problem
Communication, Interpretation
& “Practice”
Capstone Project in Data Science
Independent Study in Data Science