Certified Data Analyst (CDA)

Certified Data Analyst | CDA

The Certified Data Analyst (CDA) certification is a professional certification designed for individuals who work with data and want to demonstrate their expertise in analyzing and interpreting complex data sets.

To obtain the CDA certification, candidates must typically pass an exam that tests their knowledge and skills in data analysis. The exam may be administered in person or online, and candidates may be required to demonstrate their proficiency in using certain data analysis tools or software.

Once a candidate has obtained the CDA certification, they can demonstrate their expertise in data analysis to employers, clients, and colleagues. The certification can also help individuals advance their careers in the field of data analysis and potentially increase their earning potential.

The CDA certification is provided by the Global Association of Business & Management (GABM.us), which is based in the United States and specializes in membership and professional certifications for the business and management field.

Key Benefits

  • Shows mastery in data analysis.
  • Expands job prospects and growth.
  • Increases industry recognition and trust.
  • Raises income potential and opportunities.
  • Facilitates communication with stakeholders.
  • Refines critical thinking and decision-making abilities.
  • Offers a competitive advantage in job market.
  • Displays dedication to personal growth and career.
  • Validates data-related knowledge and skills.
  • Fosters versatility in handling complex data challenges.

Who are interested

  • Data analysts seeking professional recognition.
  • Business analysts looking to expand their skills.
  • Individuals seeking career advancement in data analysis.
  • Students pursuing a career in data analysis.
  • Professionals from diverse backgrounds seeking to upskill.


  • Ability to analyze complex data sets.
  • Proficiency in data modeling and visualization.
  • Ability to identify patterns and trends.
  • Knowledge of statistical methods and tools.
  • Proficiency in data mining and machine learning techniques.
  • Ability to communicate insights effectively.
  • Understanding of ethical considerations in data analysis.
  • Proficiency in data management and governance.

The CDA certification has a positive impact on the data analytics industry. The certification promotes standardization and best practices in data analysis, which helps to improve the quality of work produced by data analysts. Additionally, the certification ensures that data analysts are trained in the latest tools and techniques, which helps to keep the industry current and relevant.


  • Only 60 Multiple Choice Questions
  • The passing score is 70% or higher
  • The exam duration is 120 minutes
  • Retake the exam unlimited times within 90 days
  • No additional charges for retaking the exam


  • Architecting the Enterprise via Big Data Analytics
  • Frontiers of Big Data Business Analytics
  • The Intrinsic Value of Data
  • Power of High Performance Analytics
  • Competitors, Intelligence, and Big Data
  • Innovation Patterns and Big Data
  • Big Data at the U.S. Department of Transportation
  • Putting Big Data at the Heart of the Decision-Making Process
  • Extracting Useful Information from Multivariate Temporal Data
  • Large-Scale Time-Series Forecasting
  • Using Big Data and Analytics
  • The Use of Big Data in Healthcare
  • Big Data: Structured and Unstructured


The Certified Data Analyst (CDA) certification is a professional credential that validates the skills and knowledge of data analysts. This certification is awarded to professionals who demonstrate proficiency in data analysis, data visualization, data modeling, and data management. Obtaining the CDA certification has several advantages and impacts in the future.

In conclusion, obtaining the CDA certification provides professionals with a competitive edge in the job market, leads to higher salaries and better job opportunities, helps individuals develop their skills and knowledge in data analysis, and has a positive impact on the data analytics industry.