| 1 - Introduction.mp4 | 1.9 MB | ||
| 2 - NumPy part01.mp4 | 234.7 MB | ||
| 2 - Numpy.ipynb | 32.1 KB | ||
| 3 - NumPy part02.mp4 | 161.3 MB | ||
| 3 - Numpy.ipynb | 32.1 KB | ||
| 4 - Pandas-1.ipynb | 67.8 KB | ||
| 4 - Pandas.mp4 | 143.5 MB | ||
| 5 - Matplotlib part01.mp4 | 97.5 MB | ||
| 6 - Data-Visualization-matplotlib.ipynb | 1.2 MB | ||
| 6 - Matplotlib part02.mp4 | 85.2 MB | ||
| 7 - Data-Visualization-seaborn.ipynb | 991.3 KB | ||
| 7 - Seaborn.mp4 | 867.4 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Python Data Visualizations New
https://DevCourseWeb.com
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.56 GB | Duration: 2h 58m
NumPy, Pandas, Matplotlib, Seaborn
What you'll learn
Master Data Manipulation with Numpy and Pandas: Students will learn how to efficiently manipulate, clean, and process large datasets using Numpy and Pandas, ess
Create Stunning Visualizations with Matplotlib: Learners will gain proficiency in creating various types of data visualizations, including line plots, bar chart
Advanced Data Visualization with Seaborn: Students will learn to create advanced, aesthetically pleasing visualizations such as heatmaps, pair plots, and regres
Analyze and Interpret Data Through Visualizations: Learners will develop the skills to analyze, interpret, and present data insights visually, making complex da
Requirements
Basic Knowledge of Python Programming
Familiarity with Data Structures and Algorithms
Basic Understanding of Data Analysis Concepts
Installation of Python and Required Libraries
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