Analytics for Retail

Rhoda Okunev is an Associate in Professional Studies at Columbia University’s School of Applied Analytics department.  Rhoda teaches math and statistics at Nova Southeastern University.  Rhoda taught at the Fashion Institute of Technology Continuing Education department in the Retail Analytics department where she created her own Applied Analytics course.  She also taught math and statistics at the Fashion Institute of Technology in New York.    Rhoda has a Master’s in Mathematics from the Courant Institute at New York University, a Master’s in Biostatistics from Columbia University, and a Master’s in Psychology from Yeshiva University.  She also has an Advanced Certification in Finance from Fordham University. Rhoda has worked in portfolio management and market risk for over 10 years at a rating agency, clearing house and bank.  Rhoda has also extensive experience in research and statistical programming at Harvard University, Massachusetts General Hospital, Columbia Presbyterian Hospital, Cornell Medical Center, Massachusetts Department of Public Health, and Emblem Health (HIP). 

Chapter 1: The Basics of Statistics.- Chapter 2: The Normal Curve.- Chapter 3: Probability and Percentages and Their Practical Business Uses.- Chapter 4: Retail Math:  Basic, Inventory, Productivity, and Growth Rate Metrics.- Chapter 5: Financial Ratios.- Chapter 6: Using Frequencies and Percentages to Create Stories from Charts.- Chapter 7: Hypothesis Testing and Interpreting Results.- Chapter 8: Pearson Correlation and Simple Regressions.- Chapter 9: Independent t-test.- Chapter 10: Putting it all Together: An Email Campaign.- Chapter 11: Forecasting: Planning for Future Scenarios.- Chapter 12: Epilogue.- Appendix A: Accounting Spreadsheet.- Appendix B: Book Email Spreadsheet.- Appendix C: Forecasting Spreadsheet.- Appendix D: Data Types.- Appendix E: Math Review.