Data Storytelling (DS)
A Data Storytelling (DS) program focuses on the crucial skill of communicating data insights effectively and persuasively. It bridges the gap between raw data and understanding, enabling you to transform complex information into compelling narratives that resonate with your audience and drive action. It’s not just about presenting numbers; it’s about crafting stories that bring the data to life, making it relatable, memorable, and impactful.
Data Storytelling (DS)
Overview
Your datas only valuable if it helps people make important decisions and take action. Data stories that are well told are drivers of positive changes within the present-day organization. However, how can we identify the most vital insights into the data of our business and communicate the same in a convincing way? How can we link the data which we have to the major underlying business matter?
This course will take the participants from the basics (the things we are going to measure and the reasons for doing so) through to the components of good visualization design (features of a good chart) through to efficiency in data storytelling.
Course Objective
At the end of this course, the participants will be well-grounded to:
- Turn data and insights into actionable recommendations
- Distill numbers into clear, digestible, meaningful messages
- Use design principles to highlight key takeaways and accelerate decision-making
Who Should Attend
Any professional who works with data and charts. If you need to tell better stories with your data, then this course is for you.
What You Will Learn?
- Make complex info / data simple
- Make visual presentations
- Humanize your data
Required Software
Participants are required to bring their own laptop with Excel and PowerPoint installed.
Prerequisites
The training focus on concepts, rather than tools. Users of Excel, Tableau, Qlik, Power BI etc. will all benefit from this training. However, participants must know how to use Microsoft PowerPoint & Excel and have the knowledge in creating basic charts/graphs.
Training Calendar
Intake
Duration
Program Fees
Module
Module 1 - The Data Storytelling in Business Presentation
- Importance of visual in delivering effective presentation
- Understand the context of presenting data
- Type of data presentation
- The Data Visualization & Storytelling Framework
Module 2 - Construct – From Data to Story
- Contextualize the importance
- Find stories in data
- Plan and structure the story arc
Module 3 - Convert – Present data story with effective visuals
- Express with visual
- Choose charts everyone understands
- Visualize charts in an effective way
Module 4 - Capture – Maximize the impact of data visualization
- Formatting (keep it clean, simple & readable)
- Emphasizing (Focus audience attention & get to the point)
- Interesting (Think outside the chart using infographics)
Module 5 - The Application: Putting all together
- Applied Walkthrough
FAQs
General Questions:
Q: What is Data Storytelling?
A: Data Storytelling is the process of communicating data insights effectively and persuasively by weaving them into a compelling narrative. It combines data analysis, visualization, and storytelling techniques to make data more engaging, memorable, and impactful.
Q: Why is Data Storytelling important?
A: In today’s data-driven world, it’s not enough to just analyze data. You need to be able to communicate your findings clearly and persuasively to influence decisions and drive action. Data Storytelling helps you do just that.
Q: Who should take this course?
A: This course is beneficial for anyone who works with data and needs to communicate their findings to others. This includes business professionals, analysts, researchers, marketers, scientists, educators, and anyone who wants to improve their communication skills.
Q: What are the prerequisites for this course?
A: While some basic familiarity with data and charts is helpful, no advanced technical skills are typically required. The focus is on storytelling principles and communication techniques. Check the course description for specifics.
Q: What software or tools are used in the course?
A: The course might cover specific data visualization tools (like Tableau, Power BI, or even Excel charting), but the primary focus is on the principles of storytelling, which are tool-agnostic. Check the course details for any software requirements.
Q: How is the course structured?
A: The course structure varies depending on the provider. It may involve in-person workshops, live online sessions, self-paced online modules, or a combination. Check the course details for specifics.
Q: How long is the course?
A: The duration varies depending on the scope and format. It can range from a few days to several weeks. Check the course details for the exact duration.
Q: Will I receive a certificate upon completion?
Yes.
Course Content & Skills:
- Q: What specific topics are covered in the course?
- A: Typical topics include narrative structure, data visualization best practices, audience understanding, communication skills, data interpretation, storytelling principles, and practical application through case studies and exercises. Check the syllabus for a detailed list.
- Q: Will I learn how to create charts and graphs?
- A: The course might cover basic data visualization principles and best practices, but it’s primarily focused on how to use visualizations within a narrative, not necessarily the technical aspects of creating them.
- Q: Will I learn about public speaking or presentation skills?
- A: Many Data Storytelling courses include elements of presentation skills, as delivering the story effectively is crucial.
- Q: Will I work on real-world examples and projects?
- A: A good Data Storytelling course will include hands-on exercises and real-world case studies to allow you to practice the skills and apply the concepts.
- Q: What’s the difference between a data visualization course and a data storytelling course?
- A: A data visualization course focuses on creating effective charts and graphs. A data storytelling course focuses on using those visualizations, along with narrative techniques, to communicate insights and tell a compelling story with the data.
Technical & Practical Questions:
Q: What if I have trouble with the software or course materials?
A: PEOPLElogy provide support through instructors, online forums, or technical assistance.
Q: What if I miss a class? (For in-person or live online courses)
A: The policy for missed classes varies. PEOPLElogy may offer recordings or make-up sessions. Check with us for further info.
Q: What kind of computer do I need?
A: Computer requirements will depend on whether the course uses specific software. If the focus is on storytelling principles, a basic computer for accessing online materials might be sufficient. Check the course details.
Q: How much practice time is required outside of class?
A: Practice is essential for developing data storytelling skills. Plan to dedicate time outside of class to work on exercises and refine your storytelling abilities.
Q: Will I be able to apply these skills in my job?
A: Absolutely! Data storytelling is a highly valuable skill applicable to a wide range of professions.
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