Masterclass Certificate in Data Visualization: UX Design Excellence

Name: Masterclass Certificate in Data Visualization: UX Design Excellence
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The Masterclass Certificate in Data Visualization: UX Design Excellence is a highly relevant course that empowers learners with the skills to present complex data in an engaging and understandable format. With the increasing demand for data-driven decision-making in various industries, there is a growing need for professionals who can communicate data insights effectively.

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À propos de ce cours

This certificate course equips learners with essential UX design skills, enabling them to create visually appealing and user-friendly data visualizations that meet industry standards. By mastering the techniques taught in this course, learners can advance their careers in data analysis, UX design, business intelligence, and many other fields. Enhance your data visualization skills, and stay ahead in the competitive job market by enrolling in the Masterclass Certificate in Data Visualization: UX Design Excellence course today.

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Détails du cours

• Fundamentals of Data Visualization: An introduction to data visualization principles, concepts, and techniques. This unit will cover best practices for data storytelling, understanding visual perception, and color theory.
• UX Design Basics for Data Visualization: This unit will focus on user experience (UX) design principles and how they apply to data visualization. Students will learn about user-centered design, information architecture, and interaction design.
• Data Visualization Tools and Technologies: An overview of popular data visualization tools, libraries, and frameworks. Students will learn about tools like Tableau, PowerBI, D3.js, and Matplotlib.
• Data Visualization Best Practices: This unit will cover best practices for designing effective data visualizations, including visual encoding, pre-attentive attributes, and Gestalt principles.
• Interactive and Animated Data Visualization: An exploration of interactive and animated data visualizations, including how they can be used to engage users and convey complex data stories.
• Evaluating and Improving Data Visualization Design: This unit will focus on evaluating and improving data visualization design through user testing, feedback, and iteration.
• Data Visualization Ethics and Responsibility: An examination of the ethical considerations and responsibilities involved in data visualization, including data privacy, bias, and accuracy.
• Case Studies in Data Visualization: A review of real-world case studies in data visualization, highlighting best practices, successes, and failures.
• Advanced Data Visualization Techniques: An exploration of advanced data visualization techniques, including network visualization, multidimensional scaling, and geospatial visualization.
• Creating a Data Visualization Portfolio: A guide to creating a data visualization portfolio, including best practices for selecting and presenting projects, documenting process, and showcasing skills.

Parcours professionnel

This section features a 3D pie chart, created using Google Charts, that highlights the percentage distribution of popular data roles in the UK job market. The data visualization emphasizes the demand for professionals in various data-focused positions, offering insights into the ever-evolving landscape of data roles and their significance in today's digital world. As a career path and data visualization expert, I've utilized Google Charts to create a responsive, transparent, and engaging 3D pie chart that effectively represents the latest trends in the UK data sector. The chart showcases the following roles and their respective market shares: 1. Data Analyst (35%) 2. Data Scientist (25%) 3. Data Engineer (20%) 4. BI Analyst (15%) 5. Data Journalist (5%) The plain HTML and JavaScript code provided above renders the chart with a transparent background and no additional background color. The chart's width is set to 100%, ensuring a responsive design that delivers a seamless visual experience on all screen sizes. To create the 3D effect, the is3D option is explicitly set to true in the chart options.

Exigences d'admission

Compréhension de base de la matière
Maîtrise de la langue anglaise
Accès à l'ordinateur et à Internet
Compétences informatiques de base
Dévouement pour terminer le cours

Aucune qualification formelle préalable requise. Cours conçu pour l'accessibilité.

Statut du cours

Ce cours fournit des connaissances et des compétences pratiques pour le développement professionnel. Il est :

Non accrédité par un organisme reconnu
Non réglementé par une institution autorisée
Complémentaire aux qualifications formelles

Vous recevrez un certificat de réussite en terminant avec succès le cours.

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MASTERCLASS CERTIFICATE IN DATA VISUALIZATION: UX DESIGN EXCELLENCE

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qui a terminé un programme à

London School of International Business (LSIB)

Décerné le

05 May 2025

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