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This is a replay video of the 10th webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

This is a replay video of the ninth webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

Learn how to use Excel effectively in your work and create data that's easy to analyze.

This book covers basic usage and data preprocessing methods for Python beginners/non-developers. As an appendix, we also provide a preprocessing method using the ChatGPT code interpreter.

Learn how to effectively use GA4 in your business.

This is a replay of our eighth webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning about data or learning tools, spend it finding the insights you need from your data.

This is a replay of our seventh webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning data or learning tools, spend it finding the insights you need from your data.

This is a replay of our sixth webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning data or learning tools, spend it finding the information you need from your data.

We cover machine learning algorithms, especially regression analysis and decision trees, that are used to identify patterns in data and make predictions. You will understand what regression analysis and decision trees are and how they are used.

This is a replay of our fifth webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your business.

This is a replay of our fourth webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your business.

This is a replay of our third webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your business.

This is a replay of our second webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Don't spend too much time learning data or learning tools, use that time to find the insights you need from your data for your work.

Here's a replay of our first webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Don't spend too much time learning data or learning tools, use that time to find the information you need in your data for your business.

We cover the data literacy required to become an organization/individual that handles data well, as well as the basic theory of data visualization. Build a solid foundation to utilize data “well.”

This is a QGIS course where you learn various map visualization and layout functions using QGIS through hands-on practice. You will also gain practical skills with practical examples of creating 7 different thematic maps!!

This is a replay of our seventh webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning data or learning tools, spend it finding the insights you need from your data.

This is packed with things I want to tell junior PM/POs who are struggling because they don't have a good mentor. I will generously share various techniques and Mental Models used by effective PM/POs.

This is a course for PMs who want to utilize data. This course covers the entire process of utilizing data in the PM role, including the flow of work from day 1 of a job change through the start and end of a project. It is an introductory data course that covers data-driven thinking, logical thinking, metric definition, log design, experiment design, creating a data culture, and more, to help you develop critical thinking skills. Although created as a course for PMs, it is structured with content that data analysts would also find beneficial (in fact, many analysts have taken the course). In addition, many people in marketing, design, and business planning roles are also taking the course.

This is a specific and practical course for Google Analytics beginners. Instead of focusing on fragmented features, you can learn the practical analysis process using GA4 by conducting scenario-based analysis. It is continuously being updated to match the latest GA4 revisions!

Providing content on core data concepts, relational data in Azure, non-relational data in Azure, and analytical workloads in Azure, combining theory and practice, this offers a meaningful educational opportunity to not only obtain certification but also take the first step towards becoming a data professional.

In this course, you can learn a wide range of topics, from basic Excel functions to advanced formulas, data visualization, and dashboard creation, with a focus on hands-on practice. By providing templates and solution files, self-study is possible, and you can maximize work efficiency by mastering data analysis skills that can be immediately applied in real-world scenarios.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.