• Experience with Online Content
• Learn Basic Rules and Actually Use Them!
• Column: Make Use of Online Documentation

• How Computers Work
• History of Programming Languages and Types of Languages
• Algorithms and Data Structures
• Three Basic Processes of Programs

• What is Image Data
• Various Image Processing Techniques

• What is Sound and Audio Data
• Various Audio Processing Techniques

• AI's Brain is a Program
• The Mechanism for Training AI's Brain: Machine Learning
• What is Supervised Machine Learning
• Exercise: Try Classifying Sweets with Supervised Machine Learning
• What is Unsupervised Machine Learning
• Exercise: Try Grouping Animals with Unsupervised Machine Learning

• What is Text Data
• Natural Language Processing
• What is a Word Cloud
• Exercise: Create a Word Cloud of "Run, Melos!"

• The Relationship Between Statistics and AI/Data Science
• Data Collection and Types
• Histograms and Basic Statistics
• Exercise: Try Finding Histograms and Basic Statistics
• Relationship Between Two Data Sets
• Data Visualization

• Data-Driven Society
• AI and Data Utilization Case Studies
• Personal Information and Information Security Guidelines
• Guidelines for Handling AI and Data

• History of AI
• Neural Networks
• Try Using Knowledge-Based Wolfram|Alpha
• How Generative AI Works
• The Future of Generative AI
• Column: Wolfram Language Tutorial

• Exploratory Activities and Statistical Problem Solving (PPDAC Cycle)
• Let's Practice Data Science Exploration: Bias in Problem Setting and Formalization of Tacit Knowledge
• Step1: Problem—How to Use Dollar Street
• Step2: Plan and Data Collection—How to Use UNICEF Data
• About the Human Development Index (HDI) Representing Human Well—being
• Step3: Data Collection and Analysis—Geographic Data Analysis for Achieving SDGs
• Step4: Data Collection and Analysis—How to Use Wolfram Language and Wolfram|Alpha in Exploratory Activities
• Data Collection and Analysis Using Wolfram|Alpha
• Data Analysis and Exploratory Activities with Wolfram Language
• Practical Examples of Wolfram Language for SDGs Problem Exploration
• Step5: Conclusion (Solutions and Presentation)—Present Problem Solutions Backed by Data

The "data" that surrounds us in our daily lives helps us construct new stories by targeting all things expressed in various forms such as images and text in the world of digital data. With the magic wand called "data science," we can incorporate all facts as data into our "horizon of thought," visualize them, and from there weave new stories—that is, the future.

However, data science truly becomes a magic wand only when we understand its essence and can handle it skillfully. Some people may have given up on data science because it contains abundant mathematics and programming. Good news for such people!

This book is overflowing with materials that allow you to learn the essence of data science and AI through enjoyable experiences while working hands-on, learning with excitement. The Wolfram Language covered in this book has many "functions" prepared in advance for learning the world of data science and AI. By using these functions, you can enter this world with excitement.

Without being bothered by mathematical calculations or programming syntax, this book allows you to challenge creative endeavors. Please try entering the world of AI and data science.

Recommended for:

• Those who want to learn AI and data science by actually running programs themselves
• Middle and high school students and teachers who want to learn the basics of AI and data science and apply them to academic learning and inquiry activities
• University students and teachers interested in practical applications of data analysis and AI programming using Wolfram Language
• Those who want to enjoy learning programming with Wolfram Language