Professional Certificate in Data Visualization Ethics and Governance
-- ViewingNowThe Professional Certificate in Data Visualization Ethics and Governance is a crucial course that addresses the ethical implications and best practices in data visualization. With the increasing reliance on data-driven decision-making, there is a growing demand for professionals who can responsibly present and interpret complex data.
2 376+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ร propos de ce cours
100% en ligne
Apprenez de n'importe oรน
Certificat partageable
Ajoutez ร votre profil LinkedIn
2 mois pour terminer
ร 2-3 heures par semaine
Commencez ร tout moment
Aucune pรฉriode d'attente
Dรฉtails du cours
โข Data Visualization Ethics: Understanding the ethical considerations when designing and sharing data visualizations, including cultural sensitivity, accessibility, and potential biases.
โข Data Governance Fundamentals: Overview of data governance principles, policies, and procedures to ensure data accuracy, security, and privacy in visualization practices.
โข Legal and Regulatory Compliance: Exploring laws and regulations related to data visualization, such as GDPR, CCPA, and copyright laws, to avoid legal issues and reputational damage.
โข Designing for Accessibility: Best practices in creating visually accessible data visualizations, including color contrast, text readability, and accommodations for visual impairments.
โข Privacy Preservation Techniques: Utilizing techniques such as data anonymization, aggregation, and differential privacy to protect individual privacy while visualizing data.
โข Visualizing Sensitive Data: Strategies for handling and visualizing sensitive data, including working with restricted data and implementing appropriate security measures.
โข Communicating Data Uncertainty: Methods for accurately representing data uncertainty in visualizations, such as confidence intervals, margins of error, and transparency in data sources.
โข Visualization Evaluation and Quality Assurance: Techniques for evaluating the effectiveness, accuracy, and interpretability of data visualizations, as well as implementing quality assurance processes to minimize errors.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
Pourquoi les gens nous choisissent pour leur carriรจre
Chargement des avis...
Questions frรฉquemment posรฉes
Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
- Supports de cours
Obtenir des informations sur le cours
Payer en tant qu'entreprise
Demandez une facture pour que votre entreprise paie ce cours.
Payer par FactureObtenir un certificat de carriรจre