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Data Visualization using Python
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Summary

Price
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Study method
Distance + live classes
Duration
3 days · Full-time
Qualification
No formal qualification

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Overview

This practical, hands‑on course introduces you to the essential skills and tools required to create meaningful and impactful data visualisations using Python. You’ll learn how to harness libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Bokeh to explore real‑world datasets, generate compelling graphs and charts, and communicate insights clearly and effectively. The course focuses on real business scenarios, giving you opportunities to practice visualisation techniques that are directly applicable to professional data analysis tasks

Description

Data Visualization using Python combines step‑by‑step instruction with practical activities to build your confidence and competence in turning raw data into meaningful visual stories. Starting with foundational concepts, you’ll explore why visualisation matters and how it aids understanding, interpretation, and decision‑making. Topics covered include:

  • Data exploration and summary statistics using Python
  • Learning and comparing different plot types — line charts, bar charts, heatmaps, box plots, scatter plots, and more
  • Using NumPy and Pandas to process and prepare data for visualisation
  • Creating visuals with Matplotlib and simplifying them with Seaborn
  • Handling geospatial data and creating geo‑plots
  • Building interactive visualisations with Bokeh
  • Applying visualisation principles to real datasets in group activities

Through guided exercises and group discussions, you will practice selecting the most appropriate visualisation for different types of data and scenarios. Graduates of this course will be able to produce professional‑quality charts and use Python tools confidently for data analytics and storytelling.

Who is this course for?

This course is suitable for:

  • Developers and scientists looking to strengthen data visualisation skills
  • Aspiring data analysts and data scientists
  • Professionals who want to communicate insights more effectively through visualisation
  • Python programmers who want to extend their skills with real‑data workflows

No prior data visualisation experience is necessary, though a basic understanding of Python and high‑school level mathematics will help you get the most out of the training.

Requirements

  • Basic Python programming knowledge
  • Familiarity with fundamental maths/statistics (GCSE level)
  • Laptop capable of running Python and installation of required libraries (e.g., NumPy, Pandas, Matplotlib)

Career path

Completing this course supports roles such as Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Visualization Specialist, or Python Developer (data‑focused).

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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