Data & Analytics for QA Department
June 4, 2025 2025-06-15 9:00Data & Analytics for QA Department
📊 Data & Analytics for QA Department
School: School of Software Testing
Program: Data & Analytics for QA
Duration: 3 Months
Level: Intermediate
Delivery Mode: Online / Hybrid
Certificate: Yes
Location: Online
About the Program
The future of QA goes beyond test cases—data drives decisions. This 3-month practical program equips software testers and QA professionals with the skills to analyze, visualize, and derive insights from testing data. Learn how to track quality metrics, build dashboards, automate reporting, and communicate test results using real-world tools and techniques.
👤 Who Can Enroll
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Manual or Automation Testers who want to leverage data
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QA Analysts, Test Leads, or Engineers interested in reporting
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Data-curious professionals seeking to merge QA and analytics
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Anyone eager to learn how to derive value from test data
Our program is flexible you choose what works best for you.
Department Highlights
- SQL for Testers — Master querying databases to validate data integrity and support backend testing.
- Big Data Testing Basics — Understand the fundamentals of testing in big data environments and distributed systems.
- Test Reporting & Metrics — Learn to create insightful reports and track key quality metrics.
- Data-Driven Testing — Implement automated tests driven by external data sources for robust coverage.
Why Choose This Department?
🔹 Gain essential data analysis skills tailored for QA professionals
🔹Learn to work with real datasets and testing environments
🔹 Develop abilities that are in high demand in modern software teams
🔹 Courses designed for practical application and immediate impact
🔹 Supportive mentorship and community for data-focused testers
Your 3 month Roadmap
📅 Month 1: Fundamentals of Data & Testing Metrics
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Introduction to QA data sources (logs, test results, defect reports)
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Understanding QA metrics: Test coverage, defect density, mean time to detect/fix, etc.
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Spreadsheet-based analysis (Excel, Google Sheets)
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Project: QA Metrics Tracking Sheet for a Demo Project
📅 Month 2: Data Analysis & Visualization for QA
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Basics of SQL for querying QA-related databases
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Exploratory Data Analysis (EDA) with Python or Excel
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Data visualization with Power BI or Google Looker Studio
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Project: Build a defect dashboard using real testing data
📅 Month 3: Reporting, Automation & Business Insights
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Automating test data extraction and reporting
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Creating stakeholder-friendly QA reports
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Communicating insights to non-technical teams
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Capstone Project: Design a full QA Analytics Report from scratch using tools of choice
🎓 Final Assessment & Certification
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Capstone project presentation
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Individual feedback from instructors
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Certificate of Completion from QACe Academy
Admission Requirements
📘 Educational Background:
No formal certificate or degree is required. This program is open to everyone — whether you’re a student, graduate, career switcher, or self-learner.
🗣️ Language Proficiency:
The course is delivered in English, so a basic understanding of the language is necessary to follow lessons and actively participate in discussions.
📝 Entry Assessment:
All applicants will take a short assessment to help us understand your current knowledge level.
What You’ll Get
🔹 Practical, Real-World Training – Not just theory!
🔹 Internship Opportunities – Gain real experience after training
🔹 CV & Interview Prep – Stand out and ace your interviews
🔹 Job Referrals – Get connected to hiring companies
🔹 Lifetime Coaching & Support – Your tech journey doesn’t end here!
Costs
Monthly
- Pay in three monthly installments. Ideal for spreading costs comfortably.
Outright
- One-time full payment with a discount and early access to career perks.
Split Payment
- Pay in two equal installments—first at enrollment, second midway through the program.
Optional Tool-Based Modules (Standalone)
You may also enroll in standalone tool modules
