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📊 Data Analytics Certifications

These certifications demonstrate my knowledge of data analysis, business intelligence, data visualization, and analytical decision-making.

They complement my experience designing automated QA dashboards, engineering reporting systems, tracking quality metrics, and transforming testing data into actionable insights using Google Sheets, SQL, and visualization techniques.


📊 Certification Snapshot

Category Details
Total Certifications 10
Primary Focus Data Analytics & Business Intelligence
Platforms Google, Coursera
Technologies SQL, R, Google Sheets, Data Visualization

📜 Certifications

S/N Certification Provider Issued Skills Verification
1 Google Data Analytics Professional Certificate Coursera / Google Jun 2022 Data Analytics Verify
2 Google Data Analytics Certificate (Credly Badge) Google Jun 2022 Data Analytics Verify
3 Foundations: Data, Data, Everywhere Google May 2022 Data Foundations Verify
4 Ask Questions to Make Data-Driven Decisions Google May 2022 Business Analysis Verify
5 Prepare Data for Exploration Google May 2022 Data Preparation Verify
6 Process Data from Dirty to Clean Google May 2022 Data Cleaning Verify
7 Analyze Data to Answer Questions Google Jun 2022 Data Analysis Verify
8 Share Data Through the Art of Visualization Google Jun 2022 Data Visualization Verify
9 Data Analysis with R Programming Google Jun 2022 R Programming Verify
10 Google Data Analytics Capstone: Complete a Case Study Google Jun 2022 Case Study Verify

🛠️ Skills Reinforced

  • Data Analysis
  • Data Cleaning
  • Data Visualization
  • Business Intelligence
  • SQL
  • R Programming
  • Google Sheets
  • Dashboard Design
  • KPI Reporting
  • Metrics Analysis
  • Data Storytelling
  • Business Decision Support

💡 Practical Application

The knowledge gained from these certifications has supported my work across several engineering initiatives, including:

  • Designing automated QA dashboards in Google Sheets
  • Building reporting systems for engineering and business stakeholders
  • Tracking software quality metrics and KPIs
  • Visualizing testing progress and defect trends
  • Using SQL for backend validation and data verification
  • Transforming raw testing data into actionable insights
  • Supporting data-driven release decisions through reporting and analytics

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