The PCES certification confirms essential knowledge and foundational skills in data analytics and Python programming. It focuses on core data practices that every aspiring analyst should master – from collecting, organizing, cleaning and analyzing data using built-in Python features and essential libraries, to drawing basic insights and communicating findings clearly, making it ideal for those beginning their journey into data analysis and programming.
Earning the PCED certification shows that you understand the fundamentals of Python and how to apply them to real-world data tasks. It provides a strong starting point for a data career and leads directly to the PCAD™ certification, which covers more advanced techniques and tools used in professional data analysis and analytics.
By achieving the PCED certification, you establish a solid foundation in Python for data analytics, gaining a competitive edge in today's data-driven landscape. Python’s role as a critical tool in the data analytics and science sectors underscores the value of this certification for anyone looking to begin or enhance a career in these fields.
PCED certification is especially relevant for:
Python is one of the most important and widely used programming languages in data analysis. Its simple syntax and powerful features make it the go-to tool for beginners and professionals alike. Whether it's reading data from a file, cleaning messy data, or calculating key statistics, Python helps analysts work faster and more efficiently.
Essential data analysis skills—such as organizing information, performing calculations, finding patterns, and creating clear summaries—are in high demand across many industries. From business and marketing to education, government, and healthcare, organizations need people who can make sense of data and communicate their findings clearly.
Entry-level roles like junior data analyst, research assistant, reporting coordinator, or operations support analyst often require foundational knowledge in Python, basic statistics, and data cleaning. These roles focus on real tasks like organizing files, checking data for issues, calculating averages, or helping create charts and reports. According to Glassdoor and Salary.com, junior analysts in the U.S. typically earn between $50,000 and $70,000 per year, with opportunities to grow as experience and skills increase.
By learning Python and essential data analysis techniques, you're building a strong starting point for a career in analytics or data science. These core skills are the foundation for more advanced tools, and they help beginners feel confident working with data in real-world situations.
SPECIFICATIONS ITEM | DESCRIPTION |
---|---|
Exam name | PCED – Certified Entry-Level Data Analyst with Python |
Exam Code & Current Exam Versions | PCED-30-02 |
Pre-requisites | Formal: None
Recommended Experience: PCEP™ (or equivalent knowledge) and a foundation in mathematics and statistics |
Validity | Lifetime |
Exam Duration | 60 minutes + NDA |
Number of Questions | 40 |
Format | Single- and multiple-select questions |
Passing Score | 75% |
Languages | English |
Cost | USD 69 (Exam)
|
Delivery Channel | OpenEDG Testing Service (TestNow™) |
Testing Policies | PCED Testing Policies |
Exam Syllabus | PCED Exam Syllabus |
Associated Certifications | PCAD – Certified Associate Data Analyst with Python |
Courses Aligned | PD101: Python for Data Analytics 101 (coming soon) |