Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.13 GB | Duration: 32 lectures * 3h 6m
Data analytics using Python MatDescriptionLib library and data visualization using Python MatDescriptionLib library
What you’ll learn
Steps in data analytics
What is MatDescriptionlib? Its interfaces.
Object Oriented Interface to MatDescriptionlib
How to Description multiple Descriptions
Types of formatting in Descriptions
Types of Descriptions using MatDescriptionlib
How to Description three dimensional Descriptions
Working with Non Numeric Data in MatDescriptionlib
Requirements
Python programming language
Python numpy package
Description
The data analytics is the process of finding insights of the data. It involves following important steps,
1. Collection of relevant data
2. Preprocessing and transforming data
3. Descriptionting data using different types of graphs
4. Understanding insight of the data
We can Description data in different types of Descriptions using MatDescriptionLib library. MatDescriptionlib is a cross-platform, data visualization and graphical Descriptionting library for Python and its numerical extension NumPy. It along with python numpy package provides open source alternative to MATLAB. Developers can use matDescriptionlib library for Descriptionting graphs. Also they can use matDescriptionlib’s APIs (Application Programming Interfaces) to embed Descriptions in GUI based applications. In this course you are going to learn details of matDescriptionlib library. The content of this course is as follows,
Chapter 1: Introduction to MatDescriptionLib
A. What is MatDescriptionlib?
B. Pyploy API
C. PyLab Module
D. Simple Description
Chapter 2: Object Oriented MatDescriptionlib
A. Object oriented interface
B. Figure class
C. Axes class
D. Transforms
Chapter 3: Multiple Descriptions
A. MultiDescriptions
B. SubDescriptions function
C. SubDescription2grid function
Chapter 4: Formatting Descriptions
A. Grids
B. Formatting axes
C. Setting limits
D. Setting ticks and tick labels
E. Twin axes
Chapter 5: Types of Descriptions
A. Bar Description
B. Stacked bar chart
C. Histogram
D. Pie chart
E. Scatter Description
F. Contour Description
G. Quiver Description
H. Box Description
I. Violin Description
Chapter 6: Three Dimensional Descriptionting
A. Three dimensional Descriptionting
B. Three dimensional contour Description
C. Three dimensional wireframe Description
D. Three dimensional surface Description
Chapter 7: Working with Non Numeric Data
A. Working with text data
B. Working with mathematical expressions
C. Working with image data
Who this course is for
Under graduate students, working professional who want to learn data analytics
Homepage
https://www.udemy.com/course/python-matDescriptionlib-for-data-analytics-and-data-visualization/
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