This was a lecture where I could simply learn about Power BI's basic functions and what visualization tools are available. I'm thinking of doing additional studying starting with this lecture.

This for free,,???

Thank you for the great lecture!

Thank you for the great lecture~!

I enjoyed watching it. It was quite disappointing that it jumped straight into usage without any explanation of what QGIS is.

The lecture difficulty level is disappointing!

I was looking for map visualization methods and this is really helpful! I'm going to try applying it to my personal project too! Thank you.

Kinder and cleaner lecture than Kaggle geospatial.

I was considering paid lectures to cram for 2 weeks, but they were more expensive than I thought and felt like a waste of money, so I'm studying with chatGPT, this lecture, and 데이터마님 problems. At first, I felt lost on how to study because there weren't many resources, but I got the hang of it with the pandas 100 exercises available on YouTube, and then I found a free lecture which I'm now taking. It's very helpful and they teach very well! Thank you for providing high-quality lectures for free.

Thank you for providing a course that allows those who want to learn machine learning through practice but couldn't because they lacked real data to directly practice machine learning using kaggle and colab. However, please note that since the course itself uses an older version of keras, the code provided by the instructor might not work in the current version of keras. Additionally, since the course is conducted at a level targeting those who have studied machine learning to some extent and have actually created machine learning code, it would be better for those who only know how to use python code to approach this course after trying practical exercises using other tools like pandas, numpy, and matplotlib. Thank you for providing a good course.