[8월 정기 교육 세션 다시보기] 회귀분석 - 지표 차이의 요인 이해하기

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 replay of the eleventh 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 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 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.

Practitioners who are curious about how other companies conduct funnel analysis, gather here! Meet the case of the global No. 1 alarm app, ‘Alarmy’, with 75 million cumulative downloads.

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.

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.

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!

Learn the problem definition and hypothesis formation processes, which are core competencies for data analysis!

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.