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Analyze data like a pro. Use Python, Pandas, and NumPy to clean, transform, and explore datasets and extract meaningful findings.
What you’ll learn
- Understand the core concepts and vocabulary of data analysis with python & pandas
- Apply practical, step-by-step methods used by professionals in data science & ai
- Complete hands-on exercises and a real-world project
- Avoid the most common mistakes beginners make
- Gain the confidence to use these skills in real situations
Who this course is for
Anyone looking to build practical, job-ready skills in data science & ai — from beginners to professionals wanting a structured refresher.
Course structure
This course is organised into 4 modules with 15 hands-on lessons — approximately 5 hours of guided learning. Each module ends with a practical exercise, and the course concludes with a real-world project you can add to your portfolio. The first lesson is free to preview.
Who this course is for
- Professionals building practical, job-ready skills in this field
- Career changers who want a structured, step-by-step learning path
- Business owners and teams upskilling for real projects
Requirements
No prior experience is required — every concept is introduced from the ground up. You will need a computer with an internet connection; all tools used are free or have free tiers unless stated in the lessons.
Certification
Complete all lessons and the final project to earn the EMFAD Certificate of Completion in Data Analysis with Python & Pandas — a shareable, verifiable certificate you can add to your CV and LinkedIn profile.
Curriculum
- 4 Sections
- 15 Lessons
- 5 Hours
Expand all sectionsCollapse all sections
- Python for Data4
- Pandas Core4
- Transforming Data4
- Analysis Workflows3




