Course Overview
Data professionals increasingly rely on Python to analyse datasets, automate workflows, and generate insights that support decision-making. Python’s ecosystem provides powerful tools for data manipulation, analysis, and visualisation.
This mentor-led programme introduces practical techniques using pandas and other commonly used Python tools. Learners explore structured approaches to cleaning datasets, performing exploratory analysis, and presenting findings visually.
Through practical scenarios and guided exercises, learners practise working with real datasets, preparing data for analysis, building reusable notebooks, and generating visualisations that communicate insights clearly. By the end of the programme, participants will be able to perform structured data analysis workflows using Python.
Hands-On Learning
Practical labs analysing datasets, cleaning data, and creating visualisations in Python notebooks.
Mentor-Led Sessions
Experienced data mentors guide learners through real-world analysis scenarios.
Career-Ready Skills
Python data analysis, dataset cleaning, and visualisation skills.
Learning Outcomes
Understand Python data analysis workflows
Clean and prepare datasets for analysis
Analyse data using pandas tools
Create visualisations to communicate insights
Build reusable analytical notebooks
Apply structured data analysis techniques
Prerequisites
Basic understanding of programming concepts is helpful.
Familiarity with spreadsheets or data analysis is beneficial.
Interest in data analytics or data science.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Introduction to Python for data analysis
- Overview of the data analysis workflow
- Setting up the Python notebook environment
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of Python Data Practitioner, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Yes, it introduces Python data analysis concepts in a structured way.
Ready to Start Your Learning Journey?
Take the next step in your professional development