Prakkshi's Digital Notebook
CtrlK
  • Introduction
  • A/B Testing with Fake User Data (Using Lib)
    • 1. Creating Fake User Data
    • 2. Pandas
    • 3. NumPy
    • 4. Data Visualization
    • 5. Created a menu-driven function
  • Product - Feature Prioritization Scoring tool
    • Code Breakup
  • PM Case Study - AspireHer
    • Persona Selection
    • Pain Points
    • Feature Explanation
    • Addressing Persona Pain Points
    • Success Metrics
    • Improvement
  • AI for PMs
    • Where to introduce AI?
    • Ways PMs can leverage AI
    • AI for transformation?
    • Case Study (Analytics)
    • Case Study (NPS)
  • Multivariate Testing (MVT)
  • SQL
    • SQL Basics
      • SELECT Statement
      • WHERE Clause
      • ORDER BY Clause
      • GROUP BY Clause
      • HAVING Clause
      • The NOT Operator
      • INSERT INTO Statement
      • NULL value
      • UPDATE & DELETE statement
      • LIMIT Clause
      • Aggregate Functions
        • AGGREGATE - MIN & MAX
        • Aggregate - COUNT
        • Aggregate - SUM
        • Aggregate - AVG
      • LIKE Operator, Wildcards
      • IN and BETWEEN Operator
      • ALIASES
      • Join Clauses
        • Inner Join
        • Left Join
        • Right Join
        • Full Join
        • Self Join
      • Union Operator
      • EXISTS Operator
      • ANY & ALL Operators
      • INSERT INTO SELECT statement
      • Case Expression
      • NULL Function
    • Databases Used
      • Aggregate
  • Python Libraries
    • Panda lib
    • NumPy
    • Matplotlib
    • Seaborn
    • Requests & BeautifulSoup
    • Faker
  • Power BI
    • Graphs/Visualizations
    • Transform Data
    • Relationships
    • Page 2
Powered by GitBook
On this page

Introduction

NextA/B Testing with Fake User Data (Using Lib)

Last updated 4 months ago