---
url: "https://xcademia.com/courses/python-data-practitioner"
title: Python Data Practitioner
description: "Learn Python data analysis including pandas, data cleaning, visualisation, and reusable analytical notebooks.

"
publishedAt: "2026-03-17T11:54:46.731802+00:00"
updatedAt: "2026-04-27T05:27:18.089813+00:00"
type: course
code: "AID-0051"
level: Practitioner
duration_days: "3"
track: "Python, R & SQL for Data"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# Python Data Practitioner

> Learn practical data analysis using Python through mentor-led sessions and hands-on scenarios. This course focuses on data cleaning, analysis, visualisation, and reusable analytical notebooks.

## 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.

## Prerequisites

- Basic understanding of programming concepts is helpful.
- Familiarity with spreadsheets or data analysis is beneficial.
- Interest in data analytics or data science.

## What you will learn

- 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

## Skills you will gain

- Python for data analysis
- Data cleaning and preparation
- Data manipulation with pandas
- Data visualisation techniques
- Analytical notebook workflows
- Data insight communication

## Career progression

- Data Analyst
- Data Practitioner
- Business Analyst
- Junior Data Scientist
- Analytics Engineer

## Curriculum

1. **Module 1: Getting Ready**
   - Introduction to Python for data analysis
   - Overview of the data analysis workflow
   - Setting up the Python notebook environment
2. **Module 2: Python for Data Analysis**
   - Working with Python data structures
   - Loading datasets
   - Basic data exploration
   - Understanding dataset structures
3. **Module 3: Data Cleaning and Preparation**
   - Handling missing or inconsistent data
   - Data transformation techniques
   - Filtering and grouping datasets
   - Preparing data for analysis
4. **Module 4: Working with Data Using Pandas**
   - DataFrames and series
   - Aggregation and summarisation
   - Data manipulation techniques
   - Analytical workflows using pandas
5. **Module 5: Data Visualisation Basics**
   - Creating charts and graphs
   - Visualising trends and patterns
   - Communicating insights visually
   - Choosing appropriate chart types
6. **Module 6: Reusable Analytical Notebooks**
   - Structuring analysis workflows
   - Documenting analysis steps
   - Creating reusable notebooks
   - Sharing analytical outputs

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course suitable for beginners?**

Yes, it introduces Python data analysis concepts in a structured way.



**What tools will I learn?**

You will learn Python data analysis using libraries such as pandas and visualisation tools.



**Does the course include hands-on exercises?**

Yes, learners practise analysing real datasets in Python notebooks.



**Do I need prior Python experience?**

Basic familiarity is helpful but not mandatory.



** What careers benefit from this training?**

Data analysts, business analysts, and professionals working with data.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0051 |
| Duration | 3 days |
| Level | Practitioner |
| Track | Python, R & SQL for Data |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Python Data Practitioner](https://xcademia.com/courses/python-data-practitioner). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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- Source: https://xcademia.com/courses/python-data-practitioner
- Publisher: Xcademia — https://xcademia.com
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