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Certification in Data Visualization and Storytelling
Training Express Ltd

Updated 2026 | 69 Modules Instructor Lead Video Classes | FREE PDF & Hard Copy Certificate | Lifetime Access

Summary

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

Add to basket or enquire

Overview

Welcome to Certification in Data Visualization and Storytelling. I designed this course to help you transform raw data into clear, engaging visuals that people can understand and act on. In today’s data-driven world, it's not enough to have the data—you need to tell the story behind it. That’s exactly what I’ll teach you here.

Throughout this course, I’ll guide you from the very basics of Data Visualization to advanced techniques using real-world examples. You’ll learn about different types of data—numerical, categorical, time series, geospatial—and how to visualise each effectively. I’ll introduce you to powerful tools and platforms for Data Visualization, including programming libraries and business intelligence (BI) tools. We'll explore interactive and animated visuals, visualising uncertainty, and even how AR and VR are shaping modern data storytelling.

As we move into storytelling, I’ll show you how to know your audience, choose the right visuals, and build a compelling narrative. You'll also learn about ethical and responsible data storytelling—how to present your visuals accurately, fairly, and with integrity. The course concludes with a capstone project where you'll apply everything you've learned to design, develop, and present your own Data Visualization project.

Learning Outcomes

  • Understand data visualization types and their effective use in context.
  • Use different tools and technologies to create meaningful visualizations.
  • Clean and prepare datasets for visualization and storytelling purposes.
  • Apply EDA techniques to uncover patterns and insights in data.
  • Design ethical and accurate visualizations for various data types.
  • Create interactive and engaging data storytelling presentations.

Key Features :

  • Certified by CPD
  • Top-notch video lessons
  • FREE PDF & Hard Copy Certificate
  • Entirely online, interactive course with audio voiceover
  • Self-paced learning and laptop, tablet, and smartphone-friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Certificates

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

1
section
71
lectures
6h 9m
total

    • 1: 1 Introduction and Study Plan Preview 03:11
    • 2: 2 Module 1.1.1 Introduction to Data Visualization 02:04
    • 3: 3 Module 1.1.2 Why Data Visualization 05:39
    • 4: 4 Module 1.1.3 Types of Data Visualization 03:16
    • 5: 5 Module 1.1.4 Tools for Data Visualization 03:05
    • 6: 6 Module 1.1.5 Best Practices for Data Visualization 01:54
    • 7: 7 Module 1.1.6 Conclusion 01:42
    • 8: 8 Module 2.1.1 Data Types and Visualization Techniques 02:51
    • 9: 9 Module 2.1.2 Numerical Data 06:45
    • 10: 10 Module 2.1.3 Categorical Data 05:48
    • 11: 11 Module 2.1.4 Time Series Data 07:51
    • 12: 12 Module 2.1.5 Text Data 07:36
    • 13: 13 Module 2.1.6 Geospatial Data 07:24
    • 14: 14 Module 2.1.7 Conclusion 02:51
    • 15: 15 Module 3.1.1 Data Preparation and Cleaning for Visualization 03:40
    • 16: 16 Module 3.1.2 Data Collection 09:10
    • 17: 17 Module 3.1.3 Data Integration 07:13
    • 18: 18 Module 3.1.4 Data Quality Assurance 06:09
    • 19: 19 Module 3.1.5 Data Visualization 01:47
    • 20: 20 Module 3.1.6 Conclusion 02:03
    • 21: 21 Module 4.1.1 Exploratory Data Analysis (EDA) 02:21
    • 22: 22 Module 4.1.2 Data Collection and Familiarization 03:25
    • 23: 23 Module 4.1.3 Data Visualization 05:28
    • 24: 24 Module 4.1.4 Feature Engineering 05:44
    • 25: 25 Module 4.1.5 Iterative Process 04:17
    • 26: 26 Module 4.1.6 Conclusion 02:26
    • 27: 27 Module 5.1.1 Advanced Data Visualization Techniques 03:17
    • 28: 28 Module 5.1.2 Interactive Visualizations 07:07
    • 29: 29 Module 5.1.3 Parallel Coordinates 08:45
    • 30: 30 Module 5.1.4 Network Graphs 08:47
    • 31: 31 Module 5.1.1 Augmented Reality AR and Virtual Reality VR 03:41
    • 32: 32 Module 5.1.6 Conclusion 02:53
    • 33: 33 Module 6.1.1 Visualizing Uncertainty and Projections 04:08
    • 34: 34 Module 6.1.2 ERROR BARS 07:04
    • 35: 35 Module 6.1.3 Prediction Intervals 12:18
    • 36: 36 Module 6.1.4 Heatmaps with Uncertainty Bands 11:46
    • 37: 37 Module 6.1.4 Animated Visualizations 02:16
    • 38: 38 Module 6.1.5 Conclusion 02:27
    • 39: 39 Module 7.1.1 Storytelling with Data 02:17
    • 40: 40 Module 7.1.2 Know your Audience 05:18
    • 41: 41 Module 7.1.3 Use Engaging Visuals 07:15
    • 42: 42 Module 7.1.4 Add Storytelling Elements 05:11
    • 43: 43 Module 7.1.5 Practical Ethical Data Storytelling 03:56
    • 44: 44 Module 7.1.6 Conclusion 04:00
    • 45: 45 Module 8.1.1 Design Principles and Aesthetics 03:59
    • 46: 46 Module 8.1.2 Clarity and Simplicity 08:09
    • 47: 47 Module 8.1.3 Color Choice 09:08
    • 48: 48 Module 8.1.4 Gestalt Principles 09:17
    • 49: 49 Module 8.1.4 Continuation of Gestalt Principles 01:47
    • 50: 50 Module 8.1.5 Conclusion 03:51
    • 51: 51 Module 9.1.1 Ethical and Responsible Data Visualization 02:20
    • 52: 52 Module 9.1.2 Accuracy and Truthfulness 10:27
    • 53: 53 Module 9.1.3 Fairness and Equity 14:32
    • 54: 54 Module 9.1.4 Consent and Respect 13:01
    • 55: 55 Module 9.1.6 Continuous Learning and Improvement 04:01
    • 56: 56 Module 9.1.7 Conclusion 04:07
    • 57: 57 Module 10.1.1 Data Visualization Tools and Technologies 03:57
    • 58: 58 Module 10.1.2 General-purpose Visualization Tools 04:45
    • 59: 59 Module 10.1.3 Specialized Visualization Tools 03:05
    • 60: 60 Module 10.1.4 Programming Libraries and Frameworks 03:19
    • 61: 61 Module 10.1.5 Business Intelligence (BI) Platforms 03:10
    • 62: 62 Module 10.1.6 Conclusion 03:20
    • 63: 63 Module 11.1.1 Capstone Project 05:17
    • 64: 64 Module 11.1.2 Project Overview 10:24
    • 65: 65 Module 11.1.3 Visualization Design 07:14
    • 66: 66 Module 11.1.4 Interactive Elements 09:24
    • 67: 67 Module 11.1.5 Presentation and Documentation 05:59
    • 68: 68 Module 11.1.6 Conclusion 02:54
    • 69: 69 Assignment 01:21
    • 70: Leave a Review 01:00
    • 71: CPD Certificate 01:00

Course media

Description

Course Curriculum

  • Module 01.: Introduction and Study Plan
  • Module 02.: Introduction to Data Visualization
  • Module 03.: Why Data Visualization
  • Module 04.: Types of Data Visualization
  • Module 05.: Tools for Data Visualization
  • Module 06.: Best Practices for Data Visualization
  • Module 07.: Conclusion
  • Module 08.: Data Types and Visualization Techniques
  • Module 09.: Numerical Data
  • Module 10.: Categorical Data
  • Module 11.: Time Series Data
  • Module 12.: Text Data
  • Module 13.: Geospatial Data
  • Module 14.: Conclusion
  • Module 15.: Data Preparation and Cleaning for Visualization
  • Module 16.: Data Collection
  • Module 17.: Data Integration
  • Module 18.: Data Quality Assurance
  • Module 19.: Data Visualization
  • Module 20.: Conclusion
  • Module 21.: Exploratory Data Analysis (EDA)
  • Module 22.: Data Collection and Familiarization
  • Module 23.: Data Visualization
  • Module 24.: Feature Engineering
  • Module 25.: Iterative Process
  • Module 26.: Conclusion
  • Module 27.: Advanced Data Visualization Techniques
  • Module 28.: Interactive Visualizations
  • Module 29.: Parallel Coordinates
  • Module 30.: Network Graphs
  • Module 31.: Augmented Reality AR and Virtual Reality VR
  • Module 32.: Conclusion
  • Module 33.: Visualizing Uncertainty and Projections
  • Module 34.: ERROR BARS
  • Module 35.: Prediction Intervals
  • Module 36.: Heatmaps with Uncertainty Bands
  • Module 37.: Animated Visualizations
  • Module 38.: Conclusion
  • Module 39.: Storytelling with Data
  • Module 40.: Know your Audience
  • Module 41.: Use Engaging Visuals
  • Module 42.: Add Storytelling Elements
  • Module 43.: Practical Ethical Data Storytelling
  • Module 44.: Conclusion
  • Module 45.: Design Principles and Aesthetics
  • Module 46.: Clarity and Simplicity
  • Module 47.: Color Choice
  • Module 48.: Gestalt Principles
  • Module 49.: Continuation of Gestalt Principles
  • Module 50.: Conclusion
  • Module 51.: Ethical and Responsible Data Visualization
  • Module 52.: Accuracy and Truthfulness
  • Module 53.: Fairness and Equity
  • Module 54.: Consent and Respect
  • Module 55.: Continuous Learning and Improvement
  • Module 56.: Conclusion
  • Module 57.: Data Visualization Tools and Technologies
  • Module 58.: General-purpose Visualization Tools
  • Module 59.: Specialized Visualization Tools
  • Module 60.: Programming Libraries and Frameworks
  • Module 61.: Business Intelligence (BI) Platforms
  • Module 62.: Conclusion
  • Module 63.: Capstone Project
  • Module 64.: Project Overview
  • Module 65.: Visualization Design
  • Module 66.: Interactive Elements
  • Module 67.: Presentation and Documentation
  • Module 68.: Conclusion
  • Module 69.: Assignment

Certification

Once you’ve successfully completed your Data Visualization and Storytelling Course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £5.99). Our Data Visualization and Storytelling Course certification has no expiry dates, although we do recommend that you renew them every 12 months.

Who is this course for?

  • Beginners interested in learning data visualization basics and tools.
  • Students studying data science or related academic subjects.
  • Professionals aiming to present data with clarity and meaning.
  • Analysts who want to improve their storytelling with data.
  • Anyone exploring ethical and engaging ways to show data.

Career path

  • Data Visualization Analyst
  • Business Intelligence Developer
  • Data Storyteller
  • Data and Insights Analyst
  • Information Designer
  • Visualization Consultant

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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