Python Data Analysis and Visualization Course – Astronomical Data

By freeCodeCamp.org
Published: Jan 19, 2024

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Learn data analysis, data visualizations, and image processing techniques using real-world astronomical data. The course offers a practical, hands-on approach to simplifying complex concepts in data analysis, making it great for beginners.

Code: https://drive.google.com/drive/folders/1KufkfHYGUyQmqexkKjgGJZgWgeh69ENf?usp=sharing

?? Course developed by @Spartificial

Spartificial Website: https://spartificial.com/

?? Contents ??
?? (0:00:34) Introduction to Course
?? (0:03:54) Introduction to Google Colab
?? (0:09:13) Python Comments
?? (0:14:39) Variables and Constants
?? (0:21:26) Basic Data Types
?? (0:33:06) f-string
?? (0:42:14) User inputs
?? (0:47:43) Data Type Conversions
?? (0:59:34) Control Flow
?? (1:19:34) Functions
?? (1:46:05) Intro to Tabular Dataset
?? (1:48:14) Importing the libraries for tabular dataset
?? (1:51:44) Exploring the tabular dataset
?? (2:08:55) Creating First Visualization with barplot matplotlib
?? (2:12:48) Adding customization to barplot
?? (2:31:26) Creating bargraph using Seaborn
?? (2:39:54) Visusalizing outliers using boxplot
?? (2:46:13) Introducing subplots using matplotlib
?? (2:53:57) Line plots
?? (3:05:04) Pair plot and scatter plot
?? (3:16:25) Creating HR Diagram
?? (3:49:18) Downloading visualizations
?? (3:54:44) Understanding Images, pixels, grayscale and colors
?? (4:07:44) What are FITS file?
?? (4:11:24) Installing Astroquery
?? (4:13:44) SkyView Form – Virtual Telescope
?? (4:19:12) Visualize Andromeda galaxy
?? (4:41:14) Creating FITS file and testing
?? (4:52:19) Pixel Distribution
?? (5:01:39) MinMax Pixel Scaling
?? (5:12:30) Standard Scaling, Log Normalization, Square root normalization
?? (5:22:34) ZScaleInterval
?? (5:43:39) Convolution Operation – Why? Why? and Demonstration
?? (5:50:13) Gaussian Denoising
?? (6:02:21) Enhancing features with Meijering and Sato filter
?? (6:11:12) Corner Foerstner – What and How to use it in Python
?? (6:19:21) Multiscale Basic Features using skimage
?? (6:30:02) Conclusion
???? Thanks to our Champion and Sponsor supporters:
???? davthecoder
???? jedi-or-sith
???? ????
???? Agustín Kussrow
???? Nattira Maneerat
???? Heather Wcislo
???? Serhiy Kalinets
???? Justin Hual
???? Otis Morgan
???? Oscar Rahnama

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