Storytelling with Data Visualization

Build a strong foundation in data visualization and storytelling to communicate insights clearly and influence business decisions. Learn how to design compelling visual narratives, apply ethical practices, use interactivity effectively, and tailor data stories to different stakeholder audiences.

storytelling-with-data-visualization

Intermediate

Data Visualization

5 Days

Data Visualization

data-visualization

Online
On-site
Hybrid

Storytelling with Data Visualization

Build a strong foundation in data visualization and storytelling to communicate insights clearly and influence business decisions. Learn how to design compelling visual narratives, apply ethical practices, use interactivity effectively, and tailor data stories to different stakeholder audiences.

Duration:
5 Days
Rating:
4.8/5.0
Level:
Intermediate
1500+ users onboarded

Who will Benefit from this Training?

Training Objectives

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Visualization Foundations
    1. Apply visualization foundations in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Chart Types and Advanced Visuals
    1. Apply chart types and advanced visuals in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Design Principles
    1. Apply design principles in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Data Storytelling Framework
    1. Apply data storytelling framework in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Insights, Context, and Meaning
    1. Apply insights, context, and meaning in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Dashboards and Infographics
    1. Apply dashboards and infographics in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Ethics and Uncertainty
    1. Apply ethics and uncertainty in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Interactive and Real-Time Visuals
    1. Apply interactive and real-time visuals in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Domain Storytelling (marketing, finance, healthcare)
    1. Apply domain storytelling (marketing, finance, healthcare) in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Presentation and Collaboration
    1. Apply presentation and collaboration in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Challenges and Trends
    1. Apply challenges and trends in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback

Hands-on Experience with Tools

Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why this course

  • Communicating Complex Information: Data visualization allows businesses to present this information visually appealing and understandable, making it easier for stakeholders at all levels to grasp key points and make informed decisions.
  • Data-Driven Decision-Making: When data is presented through visualizations and storytelling, decision-makers can gain deeper insights into business trends, customer behaviors, and market dynamics.
  • Fostering Collaboration: Data storytelling promotes collaboration within the organization. When data is presented in a clear and accessible way, it becomes a common language that teams can use to share ideas, work together, and align their efforts toward common goals.

Training objectives

  • Gain a clear understanding of why data visualization and storytelling are essential for effectively communicating data-driven insights and influencing decision-making in various business contexts.
  • Learn how to master Data Visualization Techniques.
  • Acquire the skills to craft compelling data-driven narratives.
  • Discover how to integrate data visualizations within a storytelling framework seamlessly.
  • Understand the ethical implications of data visualization and storytelling.
  • Learn to enhance data visualizations and storytelling with interactive features.
  • Develop the ability to adapt your data storytelling to different stakeholder groups.

Who will benefit

  • Data Analysts and Business Intelligence Professionals
  • Data Scientists and Analysts
  • Marketing and Communications Specialists
  • Researchers and Academics
  • Journalists and Media Professionals
  • Anyone passionate about data visualization, storytelling, analytics, and data science.

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
Faq PlusFaq Minus

With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
Faq PlusFaq Minus

We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
Faq PlusFaq Minus

Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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