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Python Data Science for Beginners
One Education

Accredited by CPD QS | Instant Access | Free Digital Certificate of Completion | Engaging Learning Materials

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
1.3 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Reed Courses Certificate of Completion - Free
  • CPD Accredited - Digital certificate - £9
  • CPD Accredited - Hard copy certificate - £15
Additional info
  • Tutor is available to students
193 students purchased this course

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Overview

In 2025, UK employers posted over 42,000 data-related roles, showing strong national demand.
Python appears in 70% of UK data job listings, making it the most requested skill.
Learning Python Data Science helps learners stay competitive in a sector growing faster than the national average.

Python Data Science continues to shape how organisations make decisions, identify trends, and manage information in the UK. In 2025, more companies rely on data-driven strategies, and they need people who can work confidently with Python tools. This course focuses on essential units such as the Introduction to Python Data Science, Data Cleaning Packages, Data Visualisation Packages, and an Assignment. These areas create a clear path for anyone who wants to grow their skills for personal development. Learners start with the basics and gradually use important packages to clean and organise information. As they move forward, they explore ways to show insights through graphs and charts. Then, they finish with an assignment that brings all the units together. This simple and structured flow helps learners build confidence while still keeping the content easy to follow.

Python is widely used across many industries in the UK because it is simple and flexible. People choose Python for data projects, machine tasks, online tools, and business analysis. Since this course focuses on core data science topics, learners gain a clear idea of how data works in real settings. Throughout the course, they discover how data cleaning supports better results, how visualisation helps people make choices faster, and how each step connects. Python Data Science skills support many modern tasks, such as spotting errors, preparing reports, or showing trends. With many organisations in the UK using data to plan growth, people who study Python Data Science remain more confident when working on new tasks. This course supports continuous improvement while still keeping everything simple and accessible for learners with or without background knowledge.

Learning Outcomes
  • Use Python basics to start simple data tasks
  • Clean data using popular Python cleaning packages
  • Create charts using data visualisation packages
  • Handle small datasets with confidence
  • Complete an assignment that joins all units togethe

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD Accredited - Digital certificate

Digital certificate - £9

CPD Accredited - Hard copy certificate

Hard copy certificate - £15

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

1
section
6
lectures
1h 16m
total

    • 1: 1 Introduction to Python Data Science 03:00
    • 2: 2 Environment Setup 10:16
    • 3: 3 Numpy package for calculations 15:46
    • 4: 4 Panda package for Data cleaning 19:11
    • 5: 5 Matplotlib Data Visualization Part 1 16:27
    • 6: 6 Matplotlib Data Visualization Part 2 11:02

Course media

Description

This course introduces Python Data Science through key units that help learners work with data in a simple and structured way. In Unit 01, learners start with the Introduction to Python Data Science. They discover how Python supports many data activities and how these activities connect to real tasks. The unit gives them a clear start and helps them feel comfortable with basic ideas. Then, Unit 02 moves to Data Cleaning Packages. This unit helps learners use essential tools that improve the quality of data. They work with different cleaning steps that make information easier to use, easier to read, and easier to share. They also learn how these packages allow them to remove errors, prepare datasets, and handle different types of data. After this, Unit 03 focuses on Data Visualisation Packages. In this unit, learners create simple but effective charts and figures that show information clearly. They explore tools that turn numbers into visuals, making insights easier to understand. Finally, the Assignment brings all the units together. Learners complete a task that connects the introduction, cleaning steps, and visualisation work. This final activity strengthens their skills and gives them a clear sense of progress. The course structure keeps the content direct, easy to follow, and suitable for learners who want to build their data confidence.

Python Data Science

  • Unit 01: Introduction to Python Data Science
  • Unit 02: Data Cleaning Packages
  • Unit 03: Data Visualization packages

Who is this course for?

This course is for anyone who wants to learn Python Data Science for personal growth. It suits learners who want to explore data tasks in a simple and steady way. People who enjoy working with numbers, charts, or reports will find this course helpful. It also suits learners who want to use data for planning, studying, or online tasks. Since the units cover data cleaning, visualisation, and basic ideas, learners from many backgrounds can follow them. Students, beginners, career changers, and anyone who wants stronger digital skills will benefit. The content stays easy to read, so learners can progress without pressure.

Requirements

There are no formal entry requirements to join this course. Learners aged 16 and above can enrol. Good English, basic numeracy, and simple IT skills will support faster progress. Anyone with interest in Python or data topics will find this course easy to follow.

Career path

  • Data Assistant – £25,000 per year
  • Junior Data Analyst – £30,000 per year
  • Reporting Assistant – £28,000 per year
  • Business Data Support – £32,000 per year
  • Data Visualisation Assistant – £30,000 per year
  • Python Data Technician – £33,000 per year

Questions and answers

No questions or answers found containing ''.

Tracey roebuck asked:

Is this cause on paper form are is it all don on line and when does it start

Answer:

Dear Tracey, Thank you for your question. This course is fully online-based course. You can start the course anytime you want. Thanks

This was helpful. Thank you for your feedback.
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Reviews

3.6
Course rating
71%
Service
77%
Content
71%
Value

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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