---
url: "https://xcademia.com/courses/python-data-foundations"
title: Python Data Foundation
description: "Learn Python for data analysis including Python basics, dataset exploration, data manipulation, and visualisation.

"
publishedAt: "2026-03-17T12:06:05.28518+00:00"
updatedAt: "2026-05-12T12:10:42.400491+00:00"
type: course
code: "AID-0055"
level: Foundation
duration_days: "3"
track: "Python, R & SQL for Data"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1599"
---

# Python Data Foundation

> Learn Python fundamentals for data analysis through mentor-led sessions and practical scenarios. This course focuses on Python data structures, dataset exploration, and basic visualisation.

## Overview

Python is one of the most widely used programming languages for data analysis and analytics. It allows professionals to explore datasets, automate data tasks, and generate insights efficiently.

This mentor-led programme introduces Python fundamentals aligned with practical data workflows using tools such as pandas. Learners explore Python syntax, working with datasets, and simple data manipulation techniques.

Through practical scenarios and guided exercises, participants practise loading datasets, analysing information, and creating basic visualisations. By the end of the programme, learners will be able to use Python to perform foundational data analysis tasks and prepare data for further analytics.

## Prerequisites

- Basic computer literacy.
- Familiarity with spreadsheets or basic data concepts is helpful.
- Interest in data analysis or analytics careers.

## What you will learn

- Understand Python fundamentals for data work
- Load and explore datasets using Python
- Perform basic data manipulation and transformation
- Create simple visualisations to communicate insights
- Build structured analytical workflows
- Prepare data for deeper analysis

## Skills you will gain

- Python programming basics
- Data handling and dataset exploration
- Data manipulation techniques
- Data visualisation basics
- Analytical workflow development
- Python notebooks for analysis

## Career progression

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

## Curriculum

1. **Module 1:  Getting Ready**
   - Introduction to Python for data analysis
   - Overview of the data workflow
   - Setting up the Python environment
2. **Module 2: Python Fundamentals**
   - Python syntax and programming basics
   - Variables, lists, and dictionaries
   - Control structures and functions
   - Working with Python scripts and notebooks
3. **Module 3: Working with Data**
   - Loading datasets from files
   - Basic dataset exploration
   - Understanding data structures
   - Simple data transformations
4. **Module 4: Data Manipulation with Python**
   - Working with tabular datasets
   - Filtering and grouping data
   - Basic aggregation techniques
   - Data preparation concepts
5. **Module 5: Data Visualisation Basics**
   - Creating charts and graphs
   - Visualising trends and patterns
   - Choosing appropriate visualisations
   - Communicating insights visually
6. **Module 6: Data Analysis Workflows**
   - Structuring analysis steps
   - Documenting findings in notebooks
   - Reproducible data analysis
   - Sharing analysis results

## 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 and data analysis concepts from the foundation level.



**Do I need prior programming experience?**

No prior programming knowledge is required.



**What will I learn in this course?**

Python fundamentals, dataset exploration, and basic data visualisation techniques.



**Does the course include practical exercises?**

Yes, learners work with datasets and perform analysis using Python.



**What careers benefit from this training?**

Data analysts, business analysts, and professionals beginning a data career.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0055 |
| Duration | 3 days |
| Level | Foundation |
| Track | Python, R & SQL for Data |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1599 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Python Data Foundation](https://xcademia.com/courses/python-data-foundations). 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.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/python-data-foundations
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt