11. Assumption & Simulation (IB533 110.1)

Unit Outlines:
■ Assumptions
§ Assumptions in BA
§ Cost Effect Function (S-Curve)
§ Parameterized Assumption
■ Simulation
§ Predictions + Assumptions
§ Comparison & Optimization
§ Choose Instruments
§ Select Target
§ Estimate Return
■ A Complete Business Analytic Process
§ Data Preparation
§ Exploration
§ Modeling & Prediction
§ Assumption & Simulation
§ Strategic & Operational Decisions

Notebooks
◆ TF5 Assumption & Simulation ( 5_Simulation.html )

Material Download:
◆ Unit11 Share Folder 【 11Simulation 】
◆ Unit11 Slides ( 11_Simulation.pttx )
◆ Unit11 Codes & Data ( 11_Simulation.zip )

Unit11 Group Assignments : Due at  2022/01/16 (Sun) 23:59
Prepare a 6~8 Minutes Presentation for “What is Business Analytics?”
Based on the complete process of BA
Add what you have learned in this course and use the Tafeng Case as an example
upload your presentation (and/or notebook) files to 【 ~/g_html/group#/
with filenames “g#_final.pptx” and/or “g#_final.html” respectively
Unit11 Personal Assignments  (optional): Due at  2022/01/16 (Sun,) 23:59
§ Complete the Exercise in unit11
§ unload to 【 ~/i_html/unit11/ 】with file the name “<student_id>_unit11.HTML” 

Video Recording:
◆ Unit11 Video Recording

References :
◆  Portal of Big Data BA Platform
◆  R: Self Learning Roadmap
◆  John Hopkins: R Programming online course
◆  John Hopkins: R Programming eBook
◆  Harvard: Data Science online course
◆  Harvard: Data Science ebook
◆  From Data to Viz
◆  Probability Cheat Sheet (pdf)
◆  Intro. Probability and Statistics Using R (IPSUR)
◆  Statistical Analysis Using R, UCLA (URL)
◆  CLUSTER ANALYSIS IN R: PRACTICAL GUIDE (URL)
◆  Principal Component Methods in R: Practical Guide (URL)