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This digital product includes access to the premium content of the course "Python for Data Analytics 101 (PD101)"
Voucher Type
This product includes access to the premium content of the course Python for Data Analytics 101 (PD101) for a minimum of 12 months. Once redeemed, the voucher cannot be reused, transferred, or extended.
Voucher Validity
The voucher is valid for 12 months from the date of purchase and must be redeemed before its expiration. Expired vouchers cannot be replaced or refunded.
Delivery Channel
The course is delivered exclusively through Edube™, the OpenEDG Education Platform.
Redemption Instructions
To redeem your voucher on the Edube™ Education Platform, visit https://edube.org/login and sign in, or create a new account if you are a new user. Then go to the Learning tab and click Enroll. Find Python for Data Analytics 101 (PD101) in the course list and enroll. Finally, launch the course and enter your access code when prompted to activate your premium access.
Additional Information
For details on the course scope and certification alignment, please visit the official PD101 Course Page.
Python for Data Analytics 101 (PD101)
Python for Data Analytics 101 (PD101) is a beginner-friendly, hands-on course designed to introduce you to both Python programming and the core concepts of data analysis. In today’s data-driven and AI-powered world, understanding how data is collected, prepared, analyzed, and interpreted is a critical skill. This course helps you build that foundation step by step, even if you are starting with no prior experience.
PD101 is aligned with the PCED™ – Certified Entry-Level Data Analyst with Python certification and provides a structured learning path toward developing practical data skills that are essential in modern education and professional environments.
Language
English
Study Time
Complete in 5 weeks (just 1 hour a day)
What the Course Covers
- Fundamental concepts of data, data analysis, and the data lifecycle, including how data is used in modern AI systems.
- Python programming basics applied to real data tasks, including variables, conditions, loops, and functions.
- Working with data structures such as lists, dictionaries, tuples, and sets to organize and process information.
- Data collection, cleaning, validation, and preparation techniques used in real-world scenarios.
- Basic data analysis, including aggregations, descriptive statistics, and simple numerical operations using tools like NumPy.
- Communicating insights through data storytelling, visualization, and clear reporting.
- Understanding how to evaluate and validate information, helping you think critically about data in both professional and everyday contexts.
What’s Included
5 modules, 40+ lessons with hands-on labs, interactive exercises, real-life data analysis scenarios, quizzes, and tests – plus a Diploma of Course Completion, your valuable proof of achievement. You will also receive a 20% discount code for the PCED™ certification exam.
Build job-ready skills and knowledge for roles in AI, data analytics, and other data-driven fields.