Python Data Processing and Visualization

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Free Download Python Data Processing and Visualization
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.
Description:
This comprehensive course is designed to take you on an in-depth journey through the world of data processing and visualization using Python.Starting from the basics, we will introduce you to the essential concepts of data manipulation, focusing on powerful libraries like Pandas, NumPy, and others.Throughout the course, we will provide hands-on exercises and real-world examples, ensuring that you gain practical skills to work with different types of data, including structured and unstructured formats.Our focus will then shift to the art of data visualization, where you will explore how to present your data in visually engaging formats using popular libraries such as Matplotlib, Seaborn, and Plotly.The course will cover various chart types, including line charts, bar charts, histograms, scatter plots, heatmaps, and more, helping you understand when and how to use each type effectively.Whether you are a beginner looking to develop core data processing skills or an experienced professional seeking to expand your visualization toolkit, this course provides everything you need to succeed in modern data analysis.By the end of this course, you will be fully equipped to clean, process, analyze, and visualize data, providing valuable insights and making informed decisions based on your analyses.
Who this course is for:
Aspiring data analysts, data scientists, and professionals interested in enhancing their data processing skills.
Anyone looking to improve their ability to analyze and visualize data for better decision-making.
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470.85 MB | 00:02:06 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -Mastering Heatmaps (15.81 MB)
2 -Visualizing Relationships with Correlation Maps (14.98 MB)
3 -Creating Subplots in Visualizations (13.86 MB)
4 -Step-by-Step Box Plot Creation (10.66 MB)
5 -Time Series Data Visualization (11.75 MB)
6 -Bubble Charts for Complex Data (10.52 MB)
7 -Exploring Violin Plots (12.86 MB)
8 -Customizing Graph Titles and Labels (12.27 MB)
9 -Using Legends in Data Visualizations (10.51 MB)
1 -Multiple Line Plot Creation (10.25 MB)
10 -Highlighting Trends with Moving Averages (11.89 MB)
2 -Exploring Area Charts (12.58 MB)
3 -Stacked Bar Charts for Comparison (10.9 MB)
4 -3D Data Visualization Techniques (10.98 MB)
5 -Waterfall Charts Explained (7.49 MB)
6 -Dynamic Data Visualization with Widgets (15.04 MB)
7 -Creating Treemaps for Hierarchical Data (11.38 MB)
8 -Parallel Coordinates for Multivariate Data (13.68 MB)
9 -Creating Funnel Charts (10.75 MB)
1 -Radar Charts for Performance Metrics (13.6 MB)
10 -Creating Dumbbell Plots (14.65 MB)
2 -Visualizing Network Graphs (13.37 MB)
3 -Heatmap Customization Techniques (15.45 MB)
4 -Enhancing Visuals with Annotations (9.59 MB)
5 -Dendrograms for Hierarchical Clustering (13.9 MB)
6 -Creating Animated Data Visualizations (11.76 MB)
7 -Adjusting Axis Scales in Charts (13.08 MB)
8 -Population Pyramid Visualizations (10.8 MB)
9 -Grouped Bar Charts for Multiple Data Sets (10.08 MB)
1 -Color-Coding Data for Better Insights (11.33 MB)
10 -Enhancing Data with Color Gradients (9.58 MB)
2 -Visualizing Large Data with Hexbin Plots (7.37 MB)
3 -Polar Area Charts for Circular Data (12.81 MB)
4 -Highlighting Key Data Points (9.07 MB)
5 -Understanding Bubble Maps (13.08 MB)
6 -Adjusting Line Styles for Clarity (9.05 MB)
7 -Plotting Cumulative Data (9.18 MB)
8 -Calendar Heatmaps for Temporal Data (10.97 MB)
9 -Creating Streamgraphs (214.58 KB)
1 -Understanding Step Plots (365.18 KB)
2 -Plotting Error Bars in Charts (8.66 MB)
3 -Creating Slope Graphs (14.77 MB)

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