Enrollment Python Institute Certifications
Certifications
Python Institute Certifications
PCAD™ – Certified Associate in Data Analytics with Python certification validates that the individual demonstrates proficiency in Python data acquisition, cleaning, manipulation, modeling, analysis, and visualization techniques. The credential confirms the holder's expertise in the field of data analytics, such as decision-making under uncertainty, data-based decision-making, predictive modelling, and model selection, as well as measures their skills in using Python for file processing and performing programming operations with the use of the NumPy, Pandas, Matplotlib, Seaborn, and SciKit-Learn libraries.
Exam name | PCAD™ – Certified Associate in Data Analytics with Python |
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Exam Code & Current Exam Versions | PCAD-31-0x (Status: Coming Q1 2023) |
Prerequisites | None |
Validity | 5 years (unless retaken or PCPD is earned) |
Exam Duration | Exam: 65 minutes, NDA/Tutorial: 10 minutes |
Number of Questions | 40 |
Format | Single- and multiple-select questions | Python 3.x |
Passing Score | 70% |
Languages | English |
Cost |
USD 295 (Exam) USD 319 (Exam + Practice Test) USD 49 (Practice Test) |
Delivery Channel | Pearson VUE: Authorized Pearson VUE Testing Centers + OnVUE Online Proctoring from Pearson VUE OpenEDG Testing Service: 4th quarter of 2022: pilot, limited availability |
Associated Certifications | PCPD – Certified Professional in Data Analytics with Python (Coming Q4 2023/Q1 2024) |
✱learners and career changers seeking a junior-level job role as a software developer, data analyst, or tester.
✱industry professionals wishing to explore technologies that are connected with Python, or that utilize it as a foundation;
✱aspiring programmers and industry professionals looking to build a solid foundation for further studies in more specialized areas, such as testing, data analytics, machine learning, IoT, and web development;
✱team leaders, product managers, and project managers who want to understand the terminology and processes in the software development cycle to more effectively manage and communicate with production and development teams.