Python for Data Analytics 102 (PD102) and PCAD Certification

Training dates

Start date End date Instructors Seats Price

About the Course

Python for Data Analytics 102 (PD102) and PCAD Certification

Master the full data analysis cycle, integrate Python with SQL, and prepare for the PCAD™ – Certified Associate Data Analyst with Python certification.

The Python for Data Analytics 102 (PD102) course is a practical, instructor-led online training designed to advance learners from foundational knowledge to intermediate data analysis proficiency. Guided by experienced trainers, this course serves as the logical professional step toward earning the PCAD™ – Certified Associate Data Analyst with Python (Exam PCAD-31-0x) certification. 

 

Upon completing the training, each participant receives a complimentary PCAD Exam + Retake voucher + practice test, ensuring a supported path to professional certification success.

Built specifically for junior data analysts and professionals seeking to transition into data-driven roles, the course focuses on the end-to-end data analysis workflow. Participants learn to move beyond basic scripting to perform complex tasks such as data acquisition from APIs, database management with SQL, and applying statistical methods to real-world datasets. Through interactive live sessions and hands-on coding exercises, learners gain the skills to build robust data pipelines using industry-standard libraries like Pandas, NumPy, Matplotlib, and Seaborn.

What you will learn:

  • Data Lifecycle Mastery: Collect, integrate, clean, and validate data from diverse sources including databases, APIs, and web content.

  • SQL Integration: Use SQL for querying and manipulating structured data and connect Python scripts to databases.

  • Advanced Data Libraries: Leverage Pandas and NumPy for complex analysis and Matplotlib and Seaborn for professional visualization.

  • Statistical Analysis: Apply descriptive and inferential statistics to validate and interpret data.

  • Machine Learning Foundations: Understand core concepts like regression analysis and model evaluation.

  • Professional Programming: Apply object-oriented design and exception handling to ensure reliable and ethical data projects.

Technical Information:

  • Level: Intermediate.

  • Duration: 8 classes, each 180 minutes long.

  • Format: Live, instructor-led sessions via MS Teams.

  • Language: English.

  • Prerequisites: Prior experience equivalent to PCED (Entry-Level Data Analyst) and PCAP (Associate Programmer) is highly recommended.