Predictive Analytics #QuickInfo - Myth: We do not have enough data
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The document discusses common myths about predictive analytics, noting that the amount of data is not as important as its quality, and that predictive analytics can be done with existing data sources rather than requiring a specific number of orders or days of data. It provides tips for getting started with predictive analytics, such as inputting at least 50% of predicted data, using existing groups of data, and focusing on data quality over quantity.
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This presentation was part of the SQA & PM Bootcamp, where I served as a trainer. It focuses on effective test case design techniques, blending theoretical knowledge with practical application, especially useful for manual testers and QA beginners.
Video Lecture Recording : https://www.facebook.com/share/v/1Z44DiXN5v/
Whats Covered:
Ь Definition and Purpose of Test Case Design
Importance of Structured Test Design
Test Case Design Techniques Overview:
Black Box Techniques
White Box Techniques
Experience-Based Techniques
Manual Test Case Design in Detail
Real-World Example: Login Page Test Case
З Black Box Methods Explained with Examples:
Equivalence Partitioning (EP)
Boundary Value Analysis (BVA)
Difference Between EP & BVA
Decision Table Testing
Experience-Based Testing: Error Guessing, Exploratory Testing
White Box Techniques (Introductory Overview)
Much More to Help You Build Strong Manual Testing Skills
This resource is especially helpful for students, aspiring QA professionals, and junior testers looking to master test design fundamentals with clarity and practical insight.Why Every Growing Business Needs a Staff Augmentation Company IN USA.pdf
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Test Case Design Techniques Practical Examples & Best Practices in Software...
Test Case Design Techniques Practical Examples & Best Practices in Software...Muhammad Fahad Bashir
油
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