1 hour a day, 3-week study planner

Part 1.
Introduction

1.
Things to know before starting data analysis
1. What is CODAP?

Part 2.
basic

1.
YouTube viewing data analysis
2.
Analysis of global tall building data
3.
Granola Bar Nutrition Facts Data Analysis
4.
Elephant seal migration data analysis
5.
Roller Coaster Data Analysis
6. UFO Data Analysis
7.
Pokémon data analysis
8.
Netflix billing data analysis
9.
Student performance data analysis
10.
Sleep quality data analysis

Part 3.
Deepening

1.
Food intake data analysis
2.
Tomato cultivation environment data analysis
3.
Health checkup data analysis
4.
Physical fitness relationship data analysis
5.
Traffic accident data analysis
6.
Analysis of the market value of overseas soccer players' transfers
7.
Analysis of Earth's average temperature data
8.
Analysis of air pollution data in our neighborhood
9.
K-pop idol data analysis

Specialization
Genetic simulation of curly hair

From middle school students to adults, anyone can easily learn data analysis with CODAP!

It is structured so that anyone can easily follow along, from middle school students new to CODAP to adults new to data analysis.
It consists of three parts: introduction, basics, and advanced data analysis. The introduction part allows you to learn about understanding data, concepts and methods of data analysis, and how to use CODAP. The basics part allows you to learn the fundamentals of data analysis through familiar topics.
In-depth training allows you to expand your data analysis capabilities across various academic fields.

We provide a study planner to help you create and review your own study plan!

With the '1 hour a day, 3 week complete study planner', you can create your own study plan for each activity and check it yourself, thereby developing study habits.

Introduction to data analysis concepts and how to use CODAP!

「Part 1.
In "Introduction," we will look at what data analysis is and why it is necessary, and guide you through CODAP's main functions, application areas, and usage methods, allowing you to approach CODAP in an easy and fun way.

From laying the foundation to integrating with the Sustainable Development Goals (SDGs), master data analysis!

「Part 2.
In "Basics," you can build a solid foundation in data analysis by solving real-life problems using CODAP and Kaggle data on familiar topics such as UFOs, world-tall buildings, and sleep quality. In "Part 3.
In "In-Depth," we expand our data analysis to a broader perspective by connecting it to the SDGs (Sustainable Development Goals), including food consumption, air pollution, and K-pop idols.

Leverage the simulation plugin for CODAP!

You can experience data analysis in an easy and fun way by creating desired data with Blockly using the simulation plugin for CODAP and analyzing that data.

Direct lecture video provided by the author!

We provide free videos of lectures directly from the authors.