Statistical data analysis skills matrix template

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With our free statistical data analysis skills matrix template, you will receive a clear overview of the skills that are present in your organization, as well as those that are missing. Using this information, you can develop and implement a plan to ensure that your employees’ skills are up to date, comprehensive, compliant, and ready for the future.

  • Certified Statistical Data Analyst (CSDA)
  • Certified Statistical Analysis Professional (CSAP)
  • Certified Data Analysis Specialist (CDAS)
  • Certified Statistical Modeling Expert (CSME)
  • Certified Statistical Data Scientist (CSDS)
  • Certified Statistical Analysis Practitioner (CSAP)
  • Certified Data Analytics Consultant (CDAC)
  • Certified Statistical Data Mining Specialist (CSDMS)
  • Certified Statistical Data Visualization Specialist (CSDVS)
  • Certified Statistical Data Interpretation Specialist (CSDIS)
  • Certified Statistical Process Control Analyst (CSPCA)
  • Certified Statistical Data Analysis Manager (CSDAM)
  • Certified Statistical Quality Analyst (CSQA)
  • Certified Statistical Regression Analyst (CSRA)
  • Certified Data Analysis Project Manager (CDAPM)
  • Certified Statistical Data Analyst (CSDA)
  • Certified Statistical Data Analysis Auditor (CSDAA)
  • Certified Statistical Data Analysis Coordinator (CSDAC)
  • Certified Statistical Data Analysis Team Leader (CSDATL)
  • Certified Statistical Data Analysis Trainer (CSDAT)

Related skills

Statistical Methods and Techniques: This skill involves a strong understanding of various statistical methods and techniques, such as hypothesis testing, regression analysis, ANOVA, and data visualization. Proficiency in statistical methods and techniques can be demonstrated through the Certified Analytics Professional (CAP) certification offered by the Institute for Operations Research and the Management Sciences (INFORMS).

Data Cleaning and Preparation: The ability to clean and preprocess data to ensure its quality, accuracy, and suitability for statistical analysis. The Certified Data Management Professional (CDMP) certification, offered by the Data Management Association International (DAMA), validates expertise in data management principles and practices, including data cleaning and preparation.

Statistical Software Proficiency: Proficiency in using statistical software packages, such as R, Python, SAS, or SPSS, to perform data analysis and generate statistical models and visualizations. The SAS Certified Advanced Analytics Professional certification, provided by SAS Institute, demonstrates expertise in advanced analytics using SAS software.

Experimental Design: The skill to design experiments and sampling methodologies to collect data for statistical analysis, ensuring valid and reliable results. The Certified Quality Engineer (CQE) certification from the American Society for Quality (ASQ) validates expertise in quality engineering principles and practices, including experimental design.

Interpretation and Communication of Results: The ability to interpret statistical results accurately and effectively communicate findings to stakeholders, both technical and non-technical. The Certified Analytics Translator (CAT) certification, offered by the International Institute for Analytics (IIA), demonstrates expertise in translating and communicating complex analytics insights to drive business decision-making.


Skills management software is important in statistical data analysis to allocate individuals skilled in statistical methods and techniques, data cleaning and preparation, statistical software proficiency, experimental design, and interpretation and communication of results, enhancing accurate and insightful data analysis.

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