English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 21m | 756 MB
Learn how to model and visualize data in Python through Pandas data library
This 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.
This video course will give the users the skills needed to master the modelling & visualization of Data in Pandas
What You Will Learn
- Find out how to calculate security’s rate of return
- Calculate the rate of return for indices
- Working with panel objects and attributes
- Import Excel files into pandas, and export Excel files
- Get trained in using date and time functions for Pandas
- Get the hang of visual exploratory data analysis
- Master the use of Pandas Line Plot
Table of Contents
Modeling and Application
1 The Course Overview
2 Building Financial Model by Calculating and Comparing Rates of Return
3 Calculating Security’s Rate of Return
4 Calculating the Rate of Return of a Portfolio of Securities
5 Calculating the Rate of Return of Indices
Working with Panels, Input Output, Dates, and Times
6 Working with Panel Objects and Attributes
7 Working with Extraction of Data Frames from Panels
8 Convert Panels to Multi-index Data Frame, Transpose Panel
9 Export Data Frames to CSV Files with the .to csv() Method
10 Import Excel Files into Pandas, and Export Excel Files
11 Using Date and Time Functions for Pandas
Data Visualization
12 Visual Exploratory Data Analysis
13 Pandas Line Plot
14 Pandas Scatter Plot
15 Pandas Box Plot
16 Pandas Histogram Plot
17 Pandas Pie Plot
18 Pandas Area Plot
19 Pandas Heatmap
20 Pandas Bar Plot
Resolve the captcha to access the links!