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Certified Entry-Level Data Analyst with Python (PCED-30-02)
This PCED training prepares you to earn the Certified Entry-Level Data Analyst with Python certification, with no Python or data science background required. You'll learn how data is collected, stored, and transformed, then move into Python fundamentals and apply them to real data tasks. You’ll clean messy datasets, run descriptive statistics, and spot trends. The course also covers how to communicate your findings clearly through structured reports and basic visualizations. By the end, you'll have the practical Python skills and exam knowledge to start working with data professionally, and pass the PCED-30-02 exam.
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What you'll learn with PCED training
- Writing Python scripts to clean, filter, and aggregate real-world datasets
- Applyng NumPy for array operations and statistical calculations
- Classifying data types and storage formats used across modern data workflows
- Conducting exploratory data analysis to detect outliers, trends, and correlations
- Structuring data findings into clear reports with supporting visualizations
- Handling errors in Python using exception handling for more reliable code
PCED training FAQs
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Who is PCED training for?
This PCED training is perfect for absolute beginners, working professionals and career changers with no prior Python or data analysis experience. If you need to start working with data in your job or want to move into an analyst role, this course is built for you.



What our learners say
When learning a new technology, people sometimes build a wall that complicates the learning process because of the unknown. I like tearing down that wall — and having people fall in love with that technology.
Having access to on-demand labs that I could spin up instantly was very helpful. I didn’t have to have a home environment with a bunch of virtual machines spun up. Or worry about destroying things.
You constantly have to invest in training for your people.
Download the free PCED study guide to complete this course in about 26 hours.
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