PCED™ – Certified Entry-Level Data Analyst with Python

（試験コード：PCED-30-0x）

PCED 認定は、データ分析と Python プログラミングの基礎知識・スキルを証明する資格です。データの収集・整理・クレンジング・分析まで、すべての初学者が習得すべき「データ活用の基本」を、Python の標準機能や主要ライブラリを使って体系的に学べます。さらに、データから基礎的な知見を導き、わかりやすく伝える力も身につくため、データ分析やプログラミングに初めて挑戦する方に最適な認定です。

PCED（Certified Entry-Level Data Analyst with Python）は、Pythonを使ったデータ分析の基礎知識と実践力を証明する認定資格です。The データコレクション、クレンジング、変換、分析など、データ分析の基本かつ重要な作業に加え、データ倫理・可視化・ストーリーテリングの考え方も学びます。

試験では、変数やデータ構造、ファイル操作、制御構造、関数といったPython の標準機能はもちろん、csv、math、statistics、datetime、collections、NumPyなど、データ分析でよく使う主要モジュールも扱います。受験者はシンプルなデータセットをもとに、代表的な分析操作やテキスト要約、基本的なチャートによるインサイトの伝え方を実践的に証明できます。

PCED は、データ分析やプログラミングが未経験/初心者の方にも最適で、Python やデータ分析の世界へのはじめの一歩をサポートします。将来的により高度なツールや上位資格にもつながる、実践・概念両面に役立つ基盤を構築することができます。

Become PCED™ certified and set your foundation in data 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:

• Complete beginners who want to break into data analytics with Python and build confidence through structured practice;
• Aspiring data analysts looking for a foundational credential to start a learning path toward professional data roles;
• Students and career changers aiming to gain practical, job-ready Python skills for data work;
• Professionals in non-technical roles seeking to apply data thinking in areas like business, education, or healthcare;
• Educators or trainers interested in teaching introductory Python and data analysis.

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.

PCED™ Exam Information