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Python Data Science Course
One Education

Python for Data Science Made Clear | Free Certificate | Flexible Access | Easy Refund

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
6.5 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

Overview

Ready to crack the code of data with Python? Dive into a course designed to make complex data science concepts clear, practical, and totally doable. From basics to powerful tools, learn how to turn raw data into insights that matter.

Data is everywhere — but knowing how to wrangle it sets you apart. This course walks you through Python’s most useful libraries like Pandas and NumPy, breaking down everything you need to confidently analyse and visualise data. Whether you’re new to coding or just want to sharpen your skills, this training fits your pace, with support when you need it, and a certificate that speaks volumes.

What to Expect from This Course

  • A step-by-step journey through Python fundamentals and data science essentials
  • Flexible learning schedule you control — study when and where it suits you
  • Expert guidance from tutors ready to assist you all the way
  • Real-world focused curriculum crafted for practical skills, not just theory
  • Free certificate to boost your CV once you finish

Why This Course is a Game Changer for Your Career

Data science isn’t just a buzzword — it’s reshaping industries across the UK. With a projected growth rate of nearly 30% in the next few years, data-savvy professionals are in hot demand. The average UK data scientist earns between £35k and £65k, with plenty of opportunities to rise higher as you gain experience. Learning Python is your ticket into this exciting world, opening doors to roles that combine creativity, analysis, and tech know-how.

Don’t just watch the future happen — be part of it. Sign up now and start building your data science skills.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

2
sections
64
lectures
6h 30m
total

    • 1: 0 Course Intro and Table of Contents 09:29
    • 2: 1 Introduction to Python 06:53
    • 3: 2 Preparing Computer - Installing Anaconda 08:25
    • 4: 3 Python Strings - Part 1 10:46
    • 5: 4 Python Numbers and Operators - Part 1 06:29
    • 6: 4 Python Numbers and Operators - Part 2 06:59
    • 7: 4 Python Strings - Part 2 08:50
    • 8: 4 Python Strings - Part 2_2 08:50
    • 9: 5 Python Lists - Part 1 05:08
    • 10: 5 Python Lists - Part 2 06:07
    • 11: 5 Python Lists - Part 3 05:28
    • 12: 5 Python Lists - Part 4 06:53
    • 13: 5 Python Lists - Part 5 07:27
    • 14: 6 Python Sets - Part 1 05:00
    • 15: 6 Python Sets - Part 2 03:58
    • 16: 6 Python Tuples 05:35
    • 17: 7 Python Dictionary - Part 1 06:35
    • 18: 7 Python Dictionary - Part 2_2 06:54
    • 19: 8 Numpy Library - Introduction - Part 1 04:51
    • 20: 8 Numpy Library - Introduction - Part 2 05:25
    • 21: 8 Numpy Library - Introduction - Part 3 06:27
    • 22: 9 Numpy Array Operations and Indexing - Part 1 04:10
    • 23: 9 Numpy Array Operations and Indexing - Part 2 05:34
    • 24: 10 Numpy Multi-Dimentional Arrays - Part 1 07:15
    • 25: 10 Numpy Multi-Dimentional Arrays - Part 2 05:33
    • 26: 10 Numpy Multi-Dimentional Arrays - Part 3 05:18
    • 27: 11 Introduction to Pandas Series 08:09
    • 28: 12 Introduction to Pandas Dataframes 07:07
    • 29: 13 Pandas Dataframe conversion and dropping - Part 1 06:15
    • 30: 13 Pandas Dataframe convert drop - Part 2 05:34
    • 31: 13 Pandas Dataframe convert drop - Part 3 07:13
    • 32: 14 Pandas Dataframe summary select - Part 1_2 05:45
    • 33: 14 Pandas Dataframe summary select - Part 2 05:30
    • 34: 14 Pandas Dataframe summary select - Part 3 06:57
    • 35: 15 Pandas Missing Sort - Part 1 06:37
    • 36: 15 Pandas Missing Sort - Part 2 06:41
    • 37: 16 Pandas Heirarchial-Multi Indexing 05:56
    • 38: 17 Pandas CSV File Read Write - Part 1 05:28
    • 39: 17 Pandas CSV File Read Write - Part 2 06:51
    • 40: 18 Pandas Json read write 06:41
    • 41: 19 Pandas Concatnation Merging and Joining - Part 1 04:38
    • 42: 19 Pandas Concatnation Merging and Joining - Part 2 04:15
    • 43: 19 Pandas Concatnation Merging and Joining - Part 3 04:22
    • 44: 20 Pandas Stacking and Pivoting - Part 1 05:22
    • 45: 20 Pandas Stacking and Pivoting - Part 1_2 05:22
    • 46: 21 Pandas Duplicate Data Management 07:19
    • 47: 22 Pandas Mapping 04:06
    • 48: 23 Pandas groupby 05:44
    • 49: 24 Pandas Aggregation 08:33
    • 50: 25 Pandas Binning or Bucketing 07:35
    • 51: 26 Pandas Reindex Rename - Part 1 04:04
    • 52: 26 Pandas Reindex Rename - Part 2 04:56
    • 53: 27 Pandas Replace Values 04:36
    • 54: 28 Pandas Dataframe Metrics 06:48
    • 55: 29 Pandas Random Permutation 08:15
    • 56: 30 Pandas Excelsheet Import 07:13
    • 57: 31 Pandas Condition Selection and Lambda Function - Part 1 04:33
    • 58: 31 Pandas Condition Selection and Lambda Function - Part 2 04:50
    • 59: 32 Pandas Ranks Min Max 06:02
    • 60: 33 Pandas Cross Tabulation 06:31
    • 61: 34 Graphs and plots using matplotlib - Part 1 06:24
    • 62: 34 Graphs and plots using matplotlib - Part 2 02:17
    • 63: 35 Histograms using matplotlib 03:20

    • 64: Leave a Review 01:00

Course media

Description

This isn’t your typical programming course. We start at square one, demystifying Python and its role in data science. You’ll get to grips with core concepts, then move into the real powerhouses: Pandas for data manipulation, NumPy for number crunching, and Matplotlib for making sense of it all through visualisations.

Each lesson is crafted to build your confidence and capability, layering new skills logically and clearly. You’ll learn to manage data, handle messy datasets, and produce meaningful charts — tools every data professional needs. Best of all, you’ll get support from experienced tutors, ensuring you’re never stuck or confused.

Learning Objectives:

  • Master Python basics that are essential for data science
  • Manipulate and clean data confidently with Pandas
  • Use NumPy for efficient numeric computing
  • Create compelling data visualisations with Matplotlib
  • Work with various data formats including CSV, JSON, and Excel

Why Take This Course?

Because data science skills are in demand like never before — and Python is the language that makes it happen. Whether you’re switching careers, enhancing your current role, or starting fresh, this course equips you with practical skills and a recognised certificate to stand out in the competitive UK job market.

Who is this course for?

  • Anyone curious about data science
  • Career changers exploring tech roles
  • Analysts wanting Python skills
  • Students keen on data-driven jobs
  • UK learners seeking accredited courses

Requirements

  • No previous experience necessary
  • Internet and device ready to go
  • Motivation to learn and explore data science

Career path

  • Data Analyst: £25k to £40k
  • Junior Data Scientist: £30k to £45k
  • Data Scientist: £35k to £65k
  • Business Intelligence Analyst: £28k to £50k

Questions and answers

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Reviews

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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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