| S No. | Module | Topic | Use Case of Business Problem Statements |
| 1 | Course Introduction | Course Overview | |
| 2 | Unfold DAX | What Is DAX? | |
| Why Should You Learn DAX? | |||
| Prerequisites | |||
| What Is DAX Good At? | |||
| What Is DAX Not Good At? | |||
| Learning Curve | |||
| What Makes DAX Hard To Learn? | |||
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Difference Between Calculated Columns & Measures
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| 3 | Understand The Data | Data Introduction | |
| 4 | Demonstrations | Calculated Columns | |
| Measure | |||
| What is Filtering? | |||
| Filtering: Demo | |||
| Evaluation Contexts: Filter Vs Row (Iterators) | |||
| Evaluation Contexts: Demo | |||
| Nesting Evaluation Contexts | |||
| 5 | Business Problem Statements | Region Profitability |
Understand geographic clusters with high profits, create zonal sales teams
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| Sales Equate Profitability |
Reach out to State heads and identify reason for low performance
Rewards for high performing states and customer Avoid over-reliance on top customers |
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| Region Growth | Identify profitable/ lean periods Identify trends |
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| Seasonality |
Align marketing plans coordinating with seasonality effects
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| Customer Clusters |
Customer segmentation and profiling
Marketing plan for different clusters |
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| Trellis Chart |
High level view of entire business
Identify and compare multiple channels |
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| Ship Mode And Segment Combination |
Prioritize the combination that works well
Divest from combinations that do not have customer acceptance |
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| Customer Churn |
Identify customer churn over the year
Check if customer churn follows a seasonal/ other pattern Check if customer churn impacts sales and profitability |
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| Tx Over 10000 | Identify high ticket orders Plan customer loyalty offering |
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| West: East Multiple Tx |
Compare two regions on normalized data
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| West: East Multiple Sales |
Compare two regions on normalized data
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| Customer Churn |
Identify same-store/ Like-to-like growth
Identify customer attrition Calculate Customer Lifetime Value |
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| Profit Margin Increase | Compare bottom-line Vs top-line | ||
| Compare Item Against Others | Calculate Pareto analysis Identify Must Sell SKUs Devise divestment strategy Realign marketing activities |
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| Rank Subcategories | Identify top selling SKUs | ||
| Show Top N Subcategories | Identify top selling SKUs Present dynamic control to end-user |
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| Market Basket Analysis | Inventory control Stock replenishment planning |
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| Daily Movement Of Cumulative Sales |
Do granular week-wise planning
Understand weekday frequency of sales Plan discount / offers for Trade Marketing |
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| Same Period Analysis |
Identify yoy growth for each quarter and month
Isolate problem areas Identify business seasonality |
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| Basket Size Proportioning | Proportion basket size | ||
| Visual Appeal | Create management-friendly reports Visually interactive reports |
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| 6 | Bonus Content | List Of 328 DAX Functions With Description | |
| Most Useful Characters Codes | |||
| 7 | Capstone Project | DIY - Project | |
| Practice Material |
Practical Learning
Practice Sheets
Recording
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