by Prabhat Ranjan | Released May 2018 | ISBN: 9781788471312

Learn how to model and visualize data in Python through Pandas data libraryAbout This VideoGet to grips with data modeling and data visualization.Understand the importance of working with Panel, Date and Time in PandasLearn how to use data visualization for analysisIn DetailThis video course will support users as they work through a typical real-world data analysis project step-by-step using Pandas. It develops the deep knowledge and skills that will enable students to immediately tackle their own projects with Pandas at work.This product demonstrates how to make financial models using Python's software library for data manipulation and analysis. Show and hide more

1. Chapter 1 : Modeling and Application
   • The Course Overview 00:03:56
   • Building Financial Model by Calculating and Comparing Rates of Return 00:04:48
   • Calculating Security's Rate of Return 00:07:33
   • Calculating the Rate of Return of a Portfolio of Securities 00:07:40
   • Calculating the Rate of Return of Indices 00:03:43
2. Chapter 2 : Working with Panels, Input/Output, Dates, and Times
   • Working with Panel Objects and Attributes 00:05:43
   • Working with Extraction of Data Frames from Panels 00:05:58
   • Convert Panels to Multi-index Data Frame, Transpose Panel 00:03:55
   • Export Data Frames to CSV Files with the .to_csv() Method 00:02:55
   • Import Excel Files into Pandas, and Export Excel Files 00:05:37
   • Using Date and Time Functions for Pandas 00:04:23
3. Chapter 3 : Data Visualization
   • Visual Exploratory Data Analysis 00:03:52
   • Pandas Line Plot 00:02:51
   • Pandas Scatter Plot 00:02:46
   • Pandas Box Plot 00:02:12
   • Pandas Histogram Plot 00:03:12
   • Pandas Pie Plot 00:02:07
   • Pandas Area Plot 00:02:16
   • Pandas Heatmap 00:02:27
   • Pandas Bar Plot 00:03:14
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