32 Data Visualization Strategies - Basic Theory & Practice for Non-Majors

Stop doing patchwork tasks where you just change numbers in Excel templates created by others! This course is a 'practical-optimized all-in-one condensed course' designed to help you master the entire menu manual from Excel 2019 to the latest 2026 version from A to Z, building the self-sufficiency to perfectly handle any data analysis or document creation you encounter in the workplace on your own.

By leveraging generative AI, you will learn the entire strategic planning process—from market analysis and insight generation to hypothesis validation and strategic report writing—and develop the ability to create comprehensive strategic reports without the help of a consultant.

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

The trending "Vibe Coding"! You can learn how to develop and deploy a website (Next.js) with just a few clicks using AI tools. We will even show you how to develop using Google Gemini Pro for free.

The starting point for a successful AX (AI Transformation) is not technology, but the leadership's understanding of AI. This course is designed to help executives grasp the overall flow of AI easily and clearly, while covering ways to maximize business productivity through the familiar Google Workspace and Gemini. Moving beyond mere theory, we provide 5-minute hands-on tasks for each session and a 1:1 customized online meeting (30 minutes) with AX Cody to systematically guide your company's tailored AI adoption strategy.

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is necessary to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence.

A practical introductory course on Claude Code for Unity developers! From installing Claude Code to Unity MCP integration, managing project conventions using CLAUDE.md, custom slash commands, and collaboration workflows—we will teach you everything you need to know for real-world application. Finally, you will gain hands-on experience effectively applying Claude Code to a Unity project by building a Survivor-style game from scratch.

We will make the entire data analysis process more accessible using chatGPT and generative AI. While gaining a better understanding of the data analysis process, you can also learn how to apply AI in practical data science.

We are back with significantly upgraded content and a completely transformed lecture!

Learn to create and use practical Notion templates for daily life, including household ledgers, pet care, and collaborative year-end reflections. Beyond just attractive templates, this covers design for efficient data management and practicality, allowing deeper Notion usage.

Learn the problem definition and hypothesis formulation process, core competencies for data analysis!

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

Experience firsthand how conversations that once disappeared can become reusable assets again. With Hermes and Wiki, build a work system where decisions and their rationale are preserved!

An introductory AI course designed for beginners! It clearly explains key concepts, from data to generative AI. The goal is to build practical understanding—not to create AI, but to reach a level where you can ask questions and explain the concepts.

I have packed this with everything I want to tell junior PMs/POs who are struggling due to a lack of good mentors. I will generously share various techniques and mental models used by high-performing PMs/POs.

Understand Transformer-based LLM architectures and GPU utilization strategies, and get hands-on experience with the actual serving process using vLLM. This course covers the entire practical workflow, from building AI system pipelines to monitoring and utilizing multiple GPUs, and is designed to help you understand everything intuitively through diagrams and hands-on exercises—without complex formulas.

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

This is an introductory course on a mobile AI assistant workflow with vision capabilities: when you send a photo of a receipt via Telegram on your smartphone, OpenClaw and Gemini 2.5 Flash automatically analyze it and organize the data into your PC workspace.