Data Science: Data Analyst - Certification Certification Logo

Data Science: Data Analyst - Certification Certification

The Data Science: Data Analyst certification validates practical skills in analyzing data, extracting insights, and applying data science methods to real-world problems. It demonstrates proficiency in data manipulation, statistics, machine learning, visualization, and data governance. Ideal for data professionals aiming to advance their analytical career.

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What is Data Science: Data Analyst - Certification Certification about?

The PeopleCert Data Science: Data Analyst certification equips learners with the knowledge and tools to work with both structured and unstructured data to support business decision-making. It covers core data science principles, programming with R and Python, data management and business intelligence techniques, statistical methods and probability, predictive modeling using machine learning and AI, visualization methods, and data governance including anonymization and privacy.
This certification prepares professionals to derive actionable insights, build analytical models, and support data-driven strategies across industries.


Key Features:


  • In-depth coverage of data science concepts from analysis to advanced modeling 
  • Practical tools and languages including R, Python & business intelligence approaches 
  • Exam based on real-world analytical challenges 
  • 24/7 access to study materials & mock exams 
  • Multiple-choice exam with global recognition 
  • Practical data visualization and governance assignments 

What are the objectives of Data Science: Data Analyst - Certification Certification ?

By the end of this training, you will be able to:


  • Apply core data science principles to extract insights from both structured and unstructured data. 
  • Use programming in R and Python for data manipulation, cleaning, and analysis. 
  • Manage and organize data to support business intelligence and reporting. 
  • Apply statistical methods and probability theory to support analysis and prediction. 
  • Build and evaluate basic predictive models using machine learning and AI techniques. 
  • Visualize and communicate data insights effectively using graphs, charts, and dashboards. 

Who is Data Science: Data Analyst - Certification Certification for?

  • Data Analysts & Data Scientists in training 
  • BI professionals and analytics consultants 
  • Business analysts wanting deeper analytical skills 
  • Software developers transitioning into data roles 
  • IT professionals working with data systems 
  • Anyone seeking to build robust data-driven decision-making skills 

What are the prerequisites for Data Science: Data Analyst - Certification Certification?

  • Recommended: PeopleCert Data Science Foundation certification prior to this advanced Analyst level is often suggested to ensure foundational knowledge. 
  • Basic familiarity with data basics and statistical concepts (helpful but not mandatory).