Originworld – Data Analytics of Dynamic Pricing and Revenue Modeling
Here’s what you’ll get:
Part 1: You Will Be Able To Extract Raw Transaction Data from Any System.
- Knowledge that will make you an Elite Talent All concepts explored using our raw data set – Databases – Schemas – POS Tables – Relational Databases – Facts, Dimensions, Granularity – ODBC – SQL Language – Joins – Group by – SQL Functions – Real-Time Reports
Part 2: You Will Understand How to Find Patterns using Probability and Statistics
- Knowledge that will make you an Elite Talent All concepts explored using our raw data set – Counting Random Events – Frequency Tables – Frequency Distribution – Cumulative Distribution – Inverse Distribution Function – Expected Value – The Normal Distribution- Standard Deviation – Outliers
Part 3: You Will Know How to Make Better Decisions using Data and Math.
- Knowledge that will make you an Elite Talent All concepts explored using our raw data set- Types of Optimization Models – Modeling Best Practices – Cumulative Demand – Estimating Line Functions – Demand Functions – Elasticity – Revenue Functions – Price Functions – Dynamic Pricing – Revenue Optimization – Dynamic Programming
Part 4: You Will Build Automated Pricing and Revenue Models in Excel.
Knowledge that will make you an Elite Talent All concepts explored using our real data set- Excel Tables – Excel Table Tools – Date Formulas – Text Formulas – Nested Functions – IF Function – Lookup Functions – Criteria Functions – Array Functions – OLAP – Pivot Table – Pivot Chart – The Excel Solver