This course provides participants with the skills and knowledge to transform complex data into compelling visual narratives. It covers a comprehensive range of topics, including the principles of data visualisation, advanced techniques, and best practices for creating impactful visual stories. By the end of this course, participants will be able to communicate data insights and drive data-driven decision-making effectively.
Upon completing this course, participants will be able to:
- Understand the fundamental principles of data visualisation.
- Utilise various tools and techniques to create effective visualisations.
- Interpret and communicate data insights through visual storytelling.
- Apply best practices in data visualisation to ensure clarity and impact.
- Develop advanced visualisation skills to handle complex datasets.
This course is ideal for:
- Data analysts and scientists looking to enhance their visualisation skills.
- Business professionals who need to communicate data insights effectively.
- Researchers and academics involved in data-driven projects.
- Anyone interested in mastering the art of data visualisation.
The course employs a mix of theoretical lectures, practical workshops, case studies, and hands-on projects to ensure participants gain the knowledge and practical experience needed to master data visualisation. Interactive sessions, peer reviews, and real-world examples will enhance learning outcomes.
Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10
Section 1: Introduction to Data Visualisation
- Importance of Data Visualisation
- History and Evolution
- Key Concepts and Terminology
Section 2: Principles of Effective Data Visualisation
- Understanding Your Audience
- Selecting the Right Chart Types
- Visual Perception and Design Principles
- Colour Theory and Usage
Section 3: Tools and Technologies
- Overview of Data Visualisation Tools
- Hands-on with Popular Tools (Tableau, Power BI, D3.js)
- Integration with Data Sources
Section 4: Creating Impactful Visualisations
- Storytelling with Data
- Designing Interactive Dashboards
- Case Studies and Real-world Applications
Section 5: Advanced Visualisation Techniques
- Handling Big Data Visualisations
- Geospatial Visualisations
- Network Visualisations
- Time-series Visualisations
Section 6: Best Practices and Ethical Considerations
- Data Integrity and Accuracy
- Ethical Implications of Data Visualisation
- Accessibility in Data Visualisation
Section 7: Practical Workshops and Projects
- Guided Hands-on Exercises
- Group Projects and Presentations
- Peer Reviews and Feedback
Section 8: Final Assessment and Certification
- Capstone Project
- Evaluation and Feedback
- Certification of Completion
عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.
شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.
يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.
العلامات
- كود الكورس PI1-129
- نمط الكورس
- المدة 5 أيام




