Professional Certificate in Data Visualization with D3.js

Wednesday, 17 September 2025 07:42:02

International applicants and their qualifications are accepted

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Overview

Overview

Learn Data Visualization with D3.js and unlock the power of interactive, web-based data insights.

Designed for data analysts, scientists, and enthusiasts, this Professional Certificate program teaches you to create stunning, custom visualizations that drive business decisions.

Discover how to harness the full potential of D3.js, a popular JavaScript library, to transform raw data into compelling, shareable stories.

Gain hands-on experience with data manipulation, visualization, and interaction techniques, and take your career to the next level.

Join our community of data visualization experts and start creating data-driven stories that captivate and inform.

Data Visualization with D3.js is a powerful tool for transforming complex data into stunning visualizations. This Professional Certificate program teaches you to harness the full potential of D3.js, a popular JavaScript library, to create interactive and dynamic data visualizations. With this course, you'll gain expertise in data manipulation, visualization, and storytelling, unlocking a world of career opportunities in data science, business intelligence, and more. You'll learn to create custom visualizations that captivate audiences, analyze large datasets, and communicate insights effectively. Upon completion, you'll be equipped to take on senior roles in data visualization, business analysis, or related fields.

Entry requirements

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Data Visualization Fundamentals • Introduction to D3.js • Data Wrangling with D3.js • SVG Elements and Attributes • Scales and Transforms • Data Joining and Merging • Geometries and Path Generation • Interactive Elements with D3.js • Best Practices for Data Visualization • Advanced D3.js Techniques

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in Data Visualization with D3.js

The Professional Certificate in Data Visualization with D3.js is a comprehensive online course designed to equip learners with the skills necessary to create interactive and dynamic data visualizations using the popular D3.js library.
This program is ideal for data analysts, business intelligence professionals, and anyone looking to gain expertise in data visualization, particularly in the context of D3.js. Upon completion, learners will be able to effectively communicate insights and trends in complex data sets, making them more valuable assets to their organizations.
The duration of the course is approximately 4 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework. This allows for a flexible learning schedule that can be accommodated by professionals with busy work commitments.
Throughout the program, learners will develop a range of skills, including data wrangling, visualization design, and interaction development. They will also gain hands-on experience with D3.js, learning how to create a variety of visualizations, from simple bar charts to complex network diagrams.
The Professional Certificate in Data Visualization with D3.js is highly relevant to the data science industry, where data visualization plays a critical role in informing business decisions and driving innovation. By acquiring these skills, learners can enhance their career prospects and stay ahead of the curve in a rapidly evolving field.
Upon completion of the program, learners will receive a certificate of completion, demonstrating their expertise in data visualization with D3.js. This credential can be showcased on LinkedIn profiles, resumes, and other professional networking platforms, opening up new opportunities for career advancement and professional growth.

Why this course?

Data Visualization with D3.js holds significant importance in today's market, particularly in the UK where the demand for data-driven insights is on the rise. According to a report by the UK's Office for National Statistics, the use of data visualization tools has increased by 25% in the past year alone. This growth is driven by the need for organizations to make data-driven decisions and communicate complex information effectively. Google Charts 3D Column Chart
Year Increase in Data Visualization Adoption
2018 15%
2019 20%
2020 25%
Responsive Google Charts 3D Column Chart

Who should enrol in Professional Certificate in Data Visualization with D3.js?

Data Visualization
Ideal Audience:
Professionals and individuals interested in data analysis and interpretation, particularly those in the UK, where 71% of organisations use data visualisation to inform business decisions (Source: Data Science Council of America).
Key characteristics:
- Familiarity with JavaScript and HTML/CSS
- Basic understanding of data structures and algorithms
- Desire to enhance data visualisation skills and stay up-to-date with industry trends