SQL for Pharma Ads Analyst: KPIs, A/B Testing, and Automation
Master SQL to analyze pharma ad campaigns, track KPIs, perform A/B testing, detect anomalies, and automate reporting for data-driven decisions.
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SQL Fundamentals for Pharma Advertising Data
Unit 1: Introduction to SQL and Pharma Data
Pharma Data Landscape
SQL: The Basics
Connecting to DB
Unit 2: Extracting Pharma Ad Data with SELECT and WHERE
Selecting Columns
Filtering with WHERE
AND & OR Operators
Filtering with LIKE
Unit 3: Aggregating and Grouping Pharma Ad Data
Aggregate Functions
Grouping Data
Filtering Groups
Date Functions
Case Statements
Unit 4: Advanced Filtering and Data Manipulation
Subqueries
String Functions
Calculating KPIs with SQL Window Functions
Unit 1: Introduction to Window Functions for KPIs
Window Functions Intro
OVER() Clause Explained
PARTITION BY Clause
ORDER BY Clause
Framing Options
Unit 2: Calculating Moving Averages and Trends
Moving Avg. Ad Spend
Conversion Rate Trends
CPA Changes
Rolling Sums
Growth Rate
Unit 3: Comparing Performance with Window Functions
Rank Campaigns by Spend
Audience Segment Ranking
Platform Performance
Campaign Performance
Regional Performance
A/B Testing Analysis and Anomaly Detection
Unit 1: A/B Testing Fundamentals with SQL
A/B Testing Overview
Setting Up A/B Tests
SQL for A/B Test Data
Basic Metrics in SQL
CASE Statements for Lift
Unit 2: Statistical Significance and Advanced A/B Testing
Statistical Significance
SQL for Significance
Segmenting A/B Test Data
Multiple Variations
Sequential Testing
Unit 3: Anomaly Detection in Pharma Ad Data
Anomaly Detection Intro
Simple Thresholds
Moving Averages
Z-Score for Outliers
Anomaly Alerting
Automated Reporting and Data Integration
Unit 1: Automating Pharma Ad Reports with SQL
Intro to Automation
SQL Scripting Basics
Scheduling SQL Scripts
Emailing Reports
Report Versioning
Unit 2: Integrating Data Sources for Holistic Reporting
Data Source Overview
Linking Ad Data
CRM Data Integration
Joining Data
Data Validation
Unit 3: Optimizing SQL for Efficient Reporting
Views: Simplified Queries
Stored Procedures
Indexing
Query Optimization
Automation Best Practices