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We’ve all met someone with a limiting belief, someone who describes their relationship with data as: “I’m not a data person” or “I can’t tell a data story.” Oftentimes, this mindset starts in childhood. Data storytelling is an incredible vehicle to challenge and reshape these beliefs early on. Imagine if kids could develop the skills to ask the right questions, interpret data, and tell powerful stories with it from a young age. How can we introduce children to data storytelling in a fun and engaging way? Cole Nussbaumer Knaflic has always had a penchant for turning data into pictures and into stories. She is CEO of Storytelling with Data, the author of the best-selling books, Storytelling with Data: a Data Visualization Guide for Business Professionals, Storytelling with Data: Let’s Practice!, and Storytelling with You: Plan, Create, and Deliver a Stellar Presentation. For more than a decade, Cole and her team have delivered interactive learning sessions sought after by data-minded individuals, companies, and philanthropic organizations all over the world. They also help people create graphs that make sense and weave them into compelling stories through the popular SWD community, blog, podcast, and videos. In the episode, Adel and Cole explore Cole’s book Daphne Draws Data, challenging limiting beliefs that can develop during childhood, why early exposure to data literacy is important, engaging with children using data, adapting complex topics, data storytelling for adults, data visualization, building a data storytelling culture, the future of data storytelling in the age of AI, and much more.  Links Mentioned in the Show: Cole’s Book: Daphne Draws DataStorytelling with DataConnect with ColeSkill Track: Data StorytellingRelated Episode: Navigating Parenthood with Data with Emily OsterRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Data scientist is now the highest-paying job for students graduating with a bachelor’s degree in the United States and is projected to grow from a $133.7 billion market in 2024 to a $276.18 billion market by 2029. However, experiences with data are rare in today’s K-12 classrooms and curriculum. This conference will introduce K-12 students, educators, and parents to foundational data science concepts and examples of data science careers across industries with a combination of workshops and presentations, divided into three levels for age-appropriate content. *K-12 educators and parents are encouraged to attend!*

THIS CONFERENCE WILL BE MULTI-TRACK:

⭐ GRADES K-4 📊

• FOUNDATIONAL CONCEPTS: Establish intuition and core ways of thinking about and visualizing data

⭐ GRADES 5-8 💻

• TOOLS & TECHNIQUES: Focus on platforms and tools that support data analysis and bring insight

⭐ GRADES 9-12 🚀

• BECOMING A DATA SCIENTIST: Learn what it takes to be a data scientist -- including skills, training and education

⭐ K-12 EDUCATORS 👩🏽‍🏫

• WHO, WHAT, WHEN, WHERE, & WHY: We'll incorporate presentations, panels, and other hands-on sessions that are specific to K-12 educators

REGISTER HERE

2024 SPEAKERS + INSTRUCTORS:

•Gulrez Khan \| Author + Data Science Lead @ Paypal 💸 •Michael Copass \| Science Teacher\, writes research articles about integrating Ai @ Tracy Unified School District 📚 •Prashant Kumar \| DATA SCIENTIST @ Bold 🚀 •Sheri Johnson \| Data Science Educator @ Essential Analysis Solutions 📊 •Kelly Dowd \| Director - Data Science @ AT&T 🌐 •Cole Nussbaumer Knaflic \| CEO @ Storytelling with Data 🗣️ •Nicolas Potkalitsky\, Ph.D. \| Teacher / AI Literacy Coach @ Pragmatic AI Solutions 🤖 •Sachin More \| SR Engineering Manager @ Dollar General 💵 •Ginger Baxter \| Assistant Dean Career Advancement and Student Success @ Chapman University 🎓 •Ugandhar Dasi \| Principal Technology Lead @ T-Mobile US 📱 •Jhonathan David \| President\, Chief Advisor - Data Analytics & Data Science @ Xabios Data 💽 •Krish Suraparaju \| SWE Intern @ Amazon 📦 •Taj Pirzada \| Director – AI @ Nike ✅ •Samuel Setsofia \| Masters Candidate @ Northwestern University 🏛️ •Akash Kura \| Sales Strategy and Data Analytics Intern @ X (Twitter) 💬 •Disha An \| Senior Data Scientist @ Salesloft 💼 •Sanjana Khajuria \| Intern @ Salesforce 📈 •Henry Clavo \| Data Engineer @ Consumer Financial Protection Bureau 🏦 •Alexander Baker \| Senior Data Scientist @ cBEYONData 📊 •Aditya Sharma \| CEO @ HiCounselor 🎓 •Chris Bent \| Founder @ Piccles 🥒 •Corey Wade \| Founder @ Berkeley Coding Academy 💻 •Anthony DiCecco \| Data and Analytics @ Chegg 💡 •Jai Prakash \| Head of Insights & Data Engineering @ Pella Corporation 🪟 •Anshul Jain \| Head of Data Science @ Meta 🌐 •Jessica Larson \| Senior Software Engineer II @ Instacart 🥕

Today I’m chatting with Emilie Shario, a Data Strategist in Residence at Amplify Partners. Emilie thinks data teams should operate like product teams. But what led her to that conclusion, and how has she put the idea into practice? Emilie answers those questions and more, delving into what kind of pushback and hiccups someone can expect when switching from being data-driven to product-driven and sharing advice for data scientists and analytics leaders.

Highlights / Skip to:

Answering the question “whose job is it” (5:18) Understanding and solving problems instead of just building features people ask for (9:05) Emilie explains what Amplify Partners is and talks about her work experience and how it fuels her perspectives on data teams (11:04) Emilie and I talk about the definition of data product (13:00) Emilie talks about her approach to building and training a data team (14:40) We talk about UX designers and how they fit into Emilie’s data teams (18:40) Emilie talks about the book and blog “Storytelling with Data” (21:00) We discuss the push back you can expect when trying to switch a team from being data driven to being product driven (23:18) What hiccups can people expect when switching to a product driven model (30:36) Emilie’s advice for data scientists and and analyst leaders (35:50) Emilie explains what Locally Optimistic is (37:34)

Quotes from Today’s Episode “Our thesis is…we need to understand the problems we’re solving before we start building solutions, instead of just building the things people are asking for.” — Emilie (2:23)

“I’ve seen this approach of flipping the ask on its head—understanding the problem you’re trying to solve—work and be more successful at helping drive impact instead of just letting your data team fall into this widget builder service trap.” — Emilie (4:43)

“If your answer to any problem to me is, ‘That’s not my job,’ then I don’t want you working for me because that’s not what we’re here for. Your job is whatever the problem in front of you that needs to be solved.” — Emilie (7:14)

“I don’t care if you have all of the data in the world and the most talented machine learning engineers and you’ve got the ability to do the coolest new algorithm fancy thing. If it doesn’t drive business impact, it doesn’t matter.” — Emilie (7:52)

“Data is not just a thing that anyone can do. It’s not just about throwing numbers in a spreadsheet anymore. It’s about driving business impact. But part of how we drive business impact with data is making it accessible. And accessible isn’t just giving people the numbers, it’s also communicating with it effectively, and UX is a huge piece of how we do that.” — Emilie (19:57)

“There are no null choices in design. Someone is deciding what some other human—a customer, a client, an internal stakeholder—is going to use, whether it’s a React app, or a Power BI dashboard, or a spreadsheet dump, or whatever it is, right? There will be an experience that is created, whether it is intentionally created or not.” — Brian (20:28)

“People will think design is just putting in colors that match together, like, or spinning the color wheel and seeing what lands. You know, there’s so much more to it. And it is an expertise; it is a domain that you have to develop.” — Emilie (34:58)

Links Referenced: Blog post by Rifat Majumder storytellingwithdata.com Experiencing Data Episode 28 with Cole Nussbaumer Knaflic locallyoptimistic.com Twitter: @emilieschario

Practice, practice, practice! Storytelling takes practice, especially Storytelling With Data (SWD). What are the fundamental principles for communicating effectively with data and using storytelling concepts to communicate that data?

Today's guest is Cole Knaflic, author of Storytelling With Data and Storytelling With Data: Let's Practice. She is super practical and realistic when teaching people who are struggling to tell stories. Are you ready to join Cole's SWD community? In this episode, you'll learn: [09:30] Storytelling With Data and Let's Practice: Read Cole's books, then do the work. [09:58] Why write the second book? Provide small and simple ways to practice and integrate SWD (Storytelling with Data) to make big changes and major impact over time. [11:35] Key Quote: Having kids and a growing business simultaneously, it's been hard, but it's actually been fantastic. - Cole Knaflic For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/42 Sponsor This exciting season of AOF is sponsored by our BI Data Storytelling Mastery Accelerator 3-Day Live workshop. Our second one is coming up on Jan 28-30 and registration is open! Join us and consider upgrading to be a VIP (we have tons of bonuses planned). Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of three days, you'll leave with the tools, techniques, and resources you need to engage your users. Register today!   Enjoyed the Show?  Please leave us a review on iTunes.

Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!