Drawing Data with Kids: Cultivating Data-Literacy: A Screen-Free Journey through the Art of Visualization for Kids

by Gulrez Khan

Overview

Drawing Data with Kids is the perfect companion for a summer full of creativity, learning, and fun. Join Pariza and her dad on a captivating adventure that combines the world of art with the fascinating realm of data visualization.

In this interactive book, children aged 7-14 will embark on a screen-free journey, discovering the magic of data through hands-on drawing exercises. Here's what makes Drawing Data with Kids a must-have for parents and teachers:

Engaging Storytelling: Follow Pariza's journey as she explores different types of graphs, charts, and visualizations, bringing data to life through captivating illustrations and relatable narratives.

Artistic Exploration: Encourage your child's creativity as they apply data concepts to their own drawings, turning abstract numbers and figures into vibrant visual representations.

Critical Thinking Skills: Foster your child's analytical thinking and problem-solving abilities as they make sense of data, analyze information, and draw meaningful conclusions.

Data Literacy Made Fun: From bar graphs to pie charts, scatter plots to line graphs, each chapter introduces a new concept in an engaging and easy-to-understand way, empowering kids to understand and communicate data effectively.

Screen-Free Summer: Provide a break from screens and technology while keeping your child engaged with interactive activities that stimulate their imagination and learning.

Whether you're a parent, teacher, or caregiver, Drawing Data with Kids is a valuable resource that combines art, creativity, and data literacy to empower children with essential skills for the digital age.

Make this summer a memorable one by immersing your child in the colorful world of data through the power of drawing. Grab your copy of Drawing Data with Kids today and embark on a summer adventure that sparks curiosity, creativity, and a love for learning!

Product Details

ISBN-13:	9781088205792
Publisher:	Gulrez Khan
Publication date:	07/07/2023
Pages:	126
Product dimensions:	7.00(w) x 10.00(h) x 0.27(d)

About the Author

Gulrez is a Father of three beautiful kids and works as a Data Science Leader in his day job. He has almost two decades of experience under his belt and has a knack for turning boring numbers into captivating stories. When he's not busy working, you can find him passing on his skills to the next generation in the hopes of creating a world of data literate children.A strong believer in the power of data literacy, Gulrez is on a mission to improve the way people make sense of data. He's known for delivering corporate workshops that are equal parts informative and entertaining.

Editorial Reviews

★ 2024-09-04
An illustrated guide to teaching visual information to children.

The key fictional conceit of Khan’s nonfiction debut is a 10-year-old girl named Pariza, whose parents are teaching the basics of data visualization to her and her younger brother “one graph at a time.” Each of the book’s chapters contains a story in which little Pariza is exposed to some new data concept or mathematical process, followed by a “time out” in which more details are provided, concluding with a “your turn to play” segment in which young readers are encouraged to try out the skills they’ve just learned. In this fictionalized setting, the author contends with a variety of simple data-representation challenges, from the basics of making a graph to ways of breaking down such statistical data as the average rainfall in each of the United States or the number of vowels and consonants in the various state names. Gradually, the subjects grow more elaborate and more complicated, always couched in the activities of Pariza’s family. In one section, Pariza and her family members keep track of each person’s score during rounds of Scrabble; Pariza then converts those scores into a graph (“she started adding dots for her score and connected them to form a line graph”). Khan’s narrative choice to render all of this as a story with identifiable characters (including resourceful Pariza, her calm, understanding parents, and her headstrong younger brother) is a wise one; the approach will allow younger readers to learn the basics of data visualization without feeling intimidated or bored. The book’s uncredited illustrations, showing not only characters and their settings but also multicolored charts and graphs, further help to demystify what might otherwise be daunting concepts. By the end of the book, Pariza is confident and ready to take on the world, and Khan’s young readers may very well feel the same way.

A brightly inviting and effective manual for teaching data visualization to younger readers.

Kirkus Reviews