
Big Data Analyst Exam Practice (Python)
dee
This is a lecture on the National Technical Qualification Big Data Analysis Technician Practical with Python. We hope you all pass!
Basic
Big Data, Python
In the [Beginner's] Data Visualization with QGIS course, you will learn about basic spatial analysis methods using the QGIS program and spatial data.

Reviews from Early Learners
5.0
kaynara312
Thank you for the free lecture. I learned the basics well.
5.0
장현승
It really helped
5.0
shs1212
Thank you. Is there a place where I can take paid classes? I wonder if the Big Data Center operates a paid QGIS class? What I'm most curious about is how to properly set the 'layer coordinate system' and 'project coordinate system'.
Calling, interpreting, and filtering QGIS data
Creating QGIS layers and setting coordinate systems
Visualization with QGIS layers and data
QGIS KMeans Clustering Analysis
QGIS is a free, open-source geographic information system (GIS) that provides functionality for viewing, editing, and analyzing spatial data. Its numerous features are continuously provided open-source, both as core functionality and as plugins, making it accessible to everyone. QGIS allows you to display, manage, edit, analyze, and create printable maps from a variety of data.
It is primarily used to collect and utilize geographic data. Recently, it has been particularly useful in the context of infectious diseases like COVID-19, visualizing the movement and spread of confirmed cases on maps and analyzing them. QGIS is also being utilized for land and urban development and to address various social issues.

Who is this course right for?
For those who want to learn QGIS for the first time
Anyone who wants to learn data visualization
14,598
Learners
374
Reviews
17
Answers
4.7
Rating
7
Courses
This is the DIP Daegu Big Data Utilization Center.
Our staff, consisting of data analysts, are conducting the lectures. :)
If you visit the center, we provide data analysis and consulting support free of charge.
Homepage YouTube Channel
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4 lectures ∙ (30min)
Course Materials:
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Free
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