| 1 -Color-Coding Data for Better Insights.mp4 | 11.3 MB | ||
| 1 -Mastering Heatmaps.mp4 | 15.8 MB | ||
| 1 -Multiple Line Plot Creation.mp4 | 10.2 MB | ||
| 1 -Radar Charts for Performance Metrics.mp4 | 13.6 MB | ||
| 1 -Understanding Step Plots.mp4 | 365.2 KB | ||
| 1 -en_18.txt | 409.6 B | ||
| 1 -en_28.txt | 614.4 B | ||
| 1 -en_46.txt | 512 B | ||
| 1 -en_60.txt | 409.6 B | ||
| 1 -en_9.txt | 307.2 B | ||
| 10 -Creating Dumbbell Plots.mp4 | 14.6 MB | ||
| 10 -Enhancing Data with Color Gradients.mp4 | 9.6 MB | ||
| 10 -Highlighting Trends with Moving Averages.mp4 | 11.9 MB | ||
| 10 -en_27.txt | 614.4 B | ||
| 10 -en_45.txt | 716.8 B | ||
| 10 -en_58.txt | 307.2 B | ||
| 2 -Exploring Area Charts.mp4 | 12.6 MB | ||
| 2 -Plotting Error Bars in Charts.mp4 | 8.7 MB | ||
| 2 -Visualizing Large Data with Hexbin Plots.mp4 | 7.4 MB | ||
| 2 -Visualizing Network Graphs.mp4 | 13.4 MB | ||
| 2 -Visualizing Relationships with Correlation Maps.mp4 | 15 MB | ||
| 2 -en_10.txt | 512 B | ||
| 2 -en_19.txt | 3.9 KB | ||
| 2 -en_29.txt | 409.6 B | ||
| 2 -en_47.txt | 409.6 B | ||
| 2 -en_61.txt | 409.6 B | ||
| 3 -Creating Slope Graphs.mp4 | 14.8 MB | ||
| 3 -Creating Subplots in Visualizations.mp4 | 13.9 MB | ||
| 3 -Heatmap Customization Techniques.mp4 | 15.5 MB | ||
| 3 -Polar Area Charts for Circular Data.mp4 | 12.8 MB | ||
| 3 -Stacked Bar Charts for Comparison.mp4 | 10.9 MB | ||
| 3 -en_11.txt | 512 B | ||
| 3 -en_20.txt | 512 B | ||
| 3 -en_30.txt | 409.6 B | ||
| 3 -en_48.txt | 614.4 B | ||
| 3 -en_62.txt | 512 B | ||
| 4 -3D Data Visualization Techniques.mp4 | 11 MB | ||
| 4 -Enhancing Visuals with Annotations.mp4 | 9.6 MB | ||
| 4 -Highlighting Key Data Points.mp4 | 9.1 MB | ||
| 4 -Step-by-Step Box Plot Creation.mp4 | 10.7 MB | ||
| 4 -en_12.txt | 409.6 B | ||
| 4 -en_21.txt | 512 B | ||
| 4 -en_37.txt | 409.6 B | ||
| 4 -en_52.txt | 409.6 B | ||
| 5 -Dendrograms for Hierarchical Clustering.mp4 | 13.9 MB | ||
| 5 -Time Series Data Visualization.mp4 | 11.8 MB | ||
| 5 -Understanding Bubble Maps.mp4 | 13.1 MB | ||
| 5 -Waterfall Charts Explained.mp4 | 7.5 MB | ||
| 5 -en_13.txt | 409.6 B | ||
| 5 -en_22.txt | 614.4 B | ||
| 5 -en_38.txt | 614.4 B | ||
| 5 -en_53.txt | 819.2 B | ||
| 6 -Adjusting Line Styles for Clarity.mp4 | 9.1 MB | ||
| 6 -Bubble Charts for Complex Data.mp4 | 10.5 MB | ||
| 6 -Creating Animated Data Visualizations.mp4 | 11.8 MB | ||
| 6 -Dynamic Data Visualization with Widgets.mp4 | 15 MB | ||
| 6 -en_14.txt | 409.6 B | ||
| 6 -en_23.txt | 614.4 B | ||
| 6 -en_39.txt | 512 B | ||
| 6 -en_54.txt | 614.4 B | ||
| 7 -Adjusting Axis Scales in Charts.mp4 | 13.1 MB | ||
| 7 -Creating Treemaps for Hierarchical Data.mp4 | 11.4 MB | ||
| 7 -Exploring Violin Plots.mp4 | 12.9 MB | ||
| 7 -Plotting Cumulative Data.mp4 | 9.2 MB | ||
| 7 -en_15.txt | 409.6 B | ||
| 7 -en_24.txt | 307.2 B | ||
| 7 -en_42.txt | 409.6 B | ||
| 7 -en_55.txt | 409.6 B | ||
| 8 -Calendar Heatmaps for Temporal Data.mp4 | 11 MB | ||
| 8 -Customizing Graph Titles and Labels.mp4 | 12.3 MB | ||
| 8 -Parallel Coordinates for Multivariate Data.mp4 | 13.7 MB | ||
| 8 -Population Pyramid Visualizations.mp4 | 10.8 MB | ||
| 8 -en_16.txt | 409.6 B | ||
| 8 -en_25.txt | 512 B | ||
| 8 -en_43.txt | 614.4 B | ||
| 8 -en_56.txt | 409.6 B | ||
| 9 -Creating Funnel Charts.mp4 | 10.8 MB | ||
| 9 -Creating Streamgraphs.mp4 | 214.6 KB | ||
| 9 -Grouped Bar Charts for Multiple Data Sets.mp4 | 10.1 MB | ||
| 9 -Using Legends in Data Visualizations.mp4 | 10.5 MB | ||
| 9 -en_17.txt | 409.6 B | ||
| 9 -en_26.txt | 512 B | ||
| 9 -en_44.txt | 819.2 B | ||
| 9 -en_57.txt | 409.6 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 86 total files | |||
Python Data Processing and Visualization
https://DevCourseWeb.com
Published 10/2024
Created by Studio 01 App
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 1h 10m ) | Size: 471 MB
Master Data Manipulation and Visualization with Python
What you'll learn:
Understand how to manipulate data using Python's core libraries, such as Pandas and NumPy.
Create compelling visualizations to communicate insights effectively using Matplotlib and Plotly.
Apply data processing techniques to clean and transform data into a usable format.
Gain the ability to identify data patterns and present them clearly through visual storytelling.
Requirements:
Basic knowledge of Python programming is recommended but not required.
A willingness to learn and experiment with new tools and techniques.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 days | 72 | 11 | |
| 2.2 GB | freecoursewb | 4 days | 39 | 13 | |
|
Udemy - Data Structures and Algorithms and LeetCode - CPP and Python Posted by
freecoursewb in Other
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633.7 MB | freecoursewb | 1 week | 16 | 4 |
| 3.4 GB | freecoursewb | 1 week | 15 | 8 | |
| 1 GB | freecoursewb | 2 weeks | 0 | 0 |
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