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  1. Courses
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  3. Data Storytelling for Investors and Financial Advisors

Data Storytelling for Investors and Financial Advisors

In this course, you’ll learn how to turn complex financial data into clear, compelling stories that elevate your advisory services and inspire client action.

Mark Peco
Mark Peco
Finance | intermediate | 4 hours |   Published: Jul 2025

    Discussions

Overview

1kSTUDENTS*
95.3%RECOMMEND*
  • 4 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

In today’s data-rich world, successful financial advisors and investors do more than analyse numbers.They source, analyze, and visualize data to extract and communicate insights to their clients in ways that motivate, inspire and advise them to make decisions that help them grow their wealth. This introductory course will provide you the skills needed to transform the results of your financial analysis into clear, actionable, and memorable stories that will enhance your advisory services, client engagement, and investment decision-making. Stories and storytelling enable us to effectively communicate key insights to our clients and colleagues with clarity and resonance. Sometimes, a story emerges from existing insights that need to be communicated to inspire action. Other times, data must be gathered, analysed and then presented to support a desired narrative. Complement your financial analysis with effective storytelling to inspire your clients to grow richer and be more successful.

Skills You Will Gain

Financial AI
Data visualization with Python
Sankey diagrams in finance
Investment storytelling
Data analysis with Python

Learning Outcomes (At the end of this program you will be able to)

Define the scope and requirements of the advisory message based on its purposes and targeted client impact.

Transform financial data using Python to design, visualize, and interpret flow dynamics through Sankey diagrams for storytelling purposes.

Develop financial data stories by combining analysis, visualization, and structured narrative techniques.

Present financial insights using clear and engaging storytelling techniques.

Prerequisites

To get the most out of this course, learners should have a basic understanding of financial and investment principles along with familiarity in data analysis and visualization techniques. Some experience with Python programming for summarizing and visualizing data is expected, as well as a general awareness of generative AI tools used to support content creation and code generation. These foundational skills will help learners focus more on the storytelling aspects without getting bogged down in technical learning.

Who Should Attend

This course is designed for personal financial advisors, investment mentors, and individual investors who aim to elevate their communication by transforming complex financial insights into engaging, actionable stories. It is also ideal for quantitative analysts, operations research professionals, and any working professionals who want to improve how they convey data-driven recommendations. Whether you're advising clients or presenting investment insights to stakeholders, this course equips you to inspire action and build deeper engagement through storytelling.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction
2Module 2: Financial Data Storytelling Concepts
3Module 3: Visualization Techniques for Financial Data
4Module 4: Storytelling Design Techniques
5Module 5: Using Python to Create Data Visualizations
6Module 6: Delivering Financial Advice with Engaging Data Stories
7Module 7: Conclusion

Segment 12: Defining Story Purpose and Audience Needs

Segment 13: Designing the Financial Story Arc

Segment 14: Selecting and Developing Characters

Segment 15: Story Design Tools and Techniques

Segment 04: The Need for Communications in Financial Advisory

Segment 05: Challenges in Communicating Financial Insights & Advice

Segment 06: The Rise of Data Storytelling

Segment 07: Financial Data Storytelling Frameworks

Segment 08: Patterns and Relationships in Financial Data

Segment 09: Comparing and Selecting Charting Styles

Segment 10: Sankey Diagrams

Segment 11: Organizing Data for Sankey Diagrams

Segment 01: Welcome and Course Goals

Segment 02: Tips for Successful Completion

Segment 03: Meet Your Instructor

Segment 16: Overview of Visualization Techniques Suitable to Storytelling

Segment 17: Applications of Bar Charts and Line Charts for Charts for Data Storytelling

Segment 18: Review of Sankey Diagrams for Data Storytelling

Segment 19: Evaluating and Selecting a Charting Technique

Segment 24: Course Wrap Up

Segment 20: Financial Advisory Case Study: Case Study Introduction

Segment 21: Financial Advisory Case Study: Creating Insights From the Raw Data

Segment 22: Financial Advisory Case Study: Crafting a Data Story to Deliver the Insights

Segment 23: Financial Advisory Case Study: Delivering the Story to Engage with the Audience

Mark Peco

Mark Peco

As a seasoned educator and consultant in the field of Data Analytics, Mark Peco brings over four decades of expertise to guiding organizations toward transformative insights and operational excellence. His extensive experience encompasses Business Intelligence, Analytics, and Data Science, positioning him as a trusted advisor across academic, corporate, and global consulting domains.

A passionate advocate for continuous learning and innovation, Mark Peco serves as an instructor at leading institutions such as York University and McMaster University. In addition to teaching, he designs and develops cutting-edge courses in Big Data Analytics and Statistics for Data Science, ensuring that each curriculum reflects the latest industry trends and methodologies.

His contributions extend well beyond the classroom. As the author of comprehensive e-learning courses on Analytics, Simulation, and Quality Management, Mark has played a pivotal role in shaping the next generation of data-driven professionals.

Through his consultancy, Camar Solutions Inc., he leads global initiatives that empower clients to harness data for strategic decision-making and business optimization. His work includes capability modeling workshops, strategic planning, and program management—each engagement marked by a blend of technical expertise and a nuanced understanding of organizational dynamics.

Whether in an academic setting or a boardroom, Mark Peco is dedicated to delivering actionable insights and sustainable solutions in today’s increasingly data-driven world.

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