Data Visualization Mastery
Transforming Data into Insightful Stories
Why This Training?
In the Digital Age, data is ubiquitous. However, the ability to convert raw data into meaningful insights through stunning visualizations is a rare and coveted skill. Our meticulously curated course bridges this gap, blending the art and science of data visualization, ensuring you master this critical competency.
Duration: 15 Hours (online / virtual live session)
Who Is This For?
Analysts, marketers, researchers, and any professional or enthusiast eager to elevate their data presentation skills, making information accessible, understandable, and actionable.
Course Highlights
The Art and Science of Data Visualization: Dive deep into the transformative power of data visualization, grasping core principles and understanding their profound impact.
Foundations of Visualization Tools: A guided tour of popular visualization platforms, prepping you for hands-on experience with the tool of choice for the course.
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Working with Data: A deep dive into the backbone of visualization data. Learn to preprocess, format, and understand data, ensuring accuracy and clarity.
Basic Visualization Techniques: Master the essentials. From charts to interactive elements, lay the foundation for your visualization journey.
Basic Visualization Techniques: Master the essentials. From charts to interactive elements, lay the foundation for your visualization journey.
Advanced Visualization Techniques: Elevate your skillset with geospatial plots, hierarchical data presentations, and multi-dimensional analyses.
Storytelling with Data: More than just visuals, learn how to weave compelling narratives with your data, ensuring your audience not only sees but understands and acts on insights.
Best Practices and Pitfalls: Navigate the nuances of data visualization ethically and effectively, refining your visuals for maximum impact and inclusivity.
Industry-Specific Visualization Cases: Understand how data visualization plays a pivotal role across diverse sectors, tailoring your approach for sector-specific insights.
Conclusion & Project Showcase: Reflect, present, and gather feedback, ensuring your learnings are cemented and actionable in real-world scenarios.
Training Highlights
Industry-Expert Facilitation: Learn from professionals who've been in the trenches, ensuring practical knowledge transfer.
Hands-On Approach: Engage in practical exercises and real-world case studies, ensuring the application of theoretical knowledge.
End-of-Course Project: Apply your learnings in a capstone project, showcasing your newly-acquired expertise.
Materials and Pre-requisites
Visualization Tools
Ensure installation of the primary tool (e.g., Tableau) used in the course.
Datasets
Real-world datasets will be provided for hands-on practice and project work.
Open Mind
Come prepared for interactive sessions, active discussions, and a transformative learning experience!
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Training Content
Data Visualization Mastery Training Plan
1. The Art and Science of Data Visualization (2 hours)
1.1 Introduction to Data Visualization
- The importance and power of visualizing data
- Real-world examples of impactful visualizations
1.2 Principles of Good Visualization
- Clarity, accuracy, and efficiency
- Avoiding common pitfalls and misleading graphs
2. Foundations of Visualization Tools (1 hour)
2.1 Overview of Popular Data Visualization Tools
- Excel, Tableau, PowerBI, D3.js, and more
2.2 Setting up a Visualization Tool Environment
- A quick setup guide for the chosen tool (e.g., Tableau) for the course
3. Working with Data (2 hours)
3.1 Data Preparation for Visualization
- Cleaning, formatting, and structuring data
- Understanding data types and sources
3.2 Basic Statistical Concepts for Visualization
- Descriptive stats: Mean, median, mode, range, etc.
- The significance of distribution, outliers, and patterns
4. Basic Visualization Techniques (2 hours)
4.1 Common Charts and Their Uses
- Bar charts, line graphs, pie charts, scatter plots, histograms
4.2 Designing Effective Tables and Heatmaps
- Enhancing readability and insight extraction
4.3 Interactivity Basics
- Tooltips, dropdowns, and sliders for dynamic visualizations
5. Advanced Visualization Techniques (2 hours)
5.1 Geospatial Visualizations
- Maps, geo-plots, and heat maps
5.2 Tree Diagrams, Network Graphs, and Hierarchical Data
- Displaying relationships, hierarchies, and flow
5.3 Multi-dimensional Analysis
- Using facets, trellis charts, and small multiples
6. Storytelling with Data (2 hours)
6.1 Constructing a Data Narrative
- The importance of context, flow, and emphasis
6.2 Design Principles for Data Storytelling
- Color theory, typography, and layout design
6.3 Creating Dashboards and Reports
- Combining multiple visual elements for comprehensive insights
7. Best Practices and Pitfalls (2 hours)
7.1 Ethical Considerations in Data Visualization
- Avoiding bias and ensuring accuracy
7.2 Critiquing and Iterating on Visualizations
- Constructive feedback, A/B testing, and refining visuals
7.3 Ensuring Accessibility
- Creating visuals that are inclusive for all audiences
8. Industry-Specific Visualization Cases (1 hour)
8.1 Visualization in Healthcare, Finance, Retail, and more
- Tailoring visuals for industry-specific insights and decisions
9. Conclusion & Project Showcase (1 hour)
9.1 Participant Data Visualization Project Presentation
- Applying course learnings to a real-world dataset
9.2 Q&A and Feedback Session
- Reflecting on the course and gathering participant insights for future improvement
WOMEN AI ACADEMY
Women AI Academy is a gender-equality and technology driven learning & development organization
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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