Top 10 Data analytics & Data visualization using matplotlib

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Dr Karveer B Manwade

3:06:05

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01 - Introduction to MatPlotLib

001 What is Matplotlib.mp4

02:47

002 Pyplot API.mp4

03:07

003 PyLab Module.mp4

07:58

004 Simple Plot.mp4

05:34

02 - Object Oriented Matplotlib

001 Object oriented interface.mp4

05:51

002 Figure class.mp4

03:38

003 Axes class.mp4

10:48

004 Transforms.mp4

11:13

03 - Multiple Plots

001 Multiplots.mp4

15:52

002 Subplots function.mp4

06:26

003 Subplot2grid function.mp4

06:27

04 - Formatting Plots

001 Grids.mp4

03:10

002 Formatting axes.mp4

07:37

003 Setting limits.mp4

04:02

004 Setting ticks and tick labels.mp4

06:12

005 Twin axes.mp4

06:46

05 - Types of Plots

001 Bar chart.mp4

10:43

002 Stacked bar chart.mp4

06:06

003 Histogram.mp4

06:17

004 Pie chart.mp4

05:16

005 Scatter plot.mp4

03:21

006 Contour plot.mp4

06:41

007 Quiver plot.mp4

03:39

008 Box plot.mp4

03:27

009 Violin plot.mp4

03:36

06 - Three Dimensional Plotting

001 Three dimensional plotting.mp4

04:31

002 Three dimensional contour plot.mp4

01:11

003 Three dimensional wireframe plot.mp4

02:54

004 Three dimensional surface plot.mp4

03:40

07 - Working with Non Numeric Data

001 Working with text data.mp4

07:11

002 Working with mathematical expressions.mp4

03:59

003 Working with image data.mp4

06:05

Description

Best data analytics course using matplotlib 2022, Best data visualization course using matplotlib 2022 Top 10 matplotlib

What You'll Learn?

Steps in data analytics
What is Matplotlib? Its interfaces.
Object Oriented Interface to Matplotlib
How to plot multiple plots
Types of formatting in plots
Types of plots using Matplotlib
How to plot three dimensional plots
Working with Non Numeric Data in Matplotlib

Who is this for?

Under graduate students, working professional who want to learn data analytics

What You Need to Know?

Python programming language

Python numpy package

More details

Description
Top 10 data analytics course using matplotlib 2022, Top 10 data visualization course using matplotlib 2022, Matplotlib 2022
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. Plotting data using different types of graphs
4. Understanding insight of the data
We can plot data in different types of plots using matplotlib library. Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy. It along with python numpy package provides open source alternative to MATLAB. Developers can use matplotlib library for plotting graphs. Also they can use matplotlibâ€™s APIs (Application Programming Interfaces) to embed plots in GUI based applications. In this course you are going to learn details of matplotlib library. The content of this course is as follows,
Chapter 1: Introduction to MatPlotLib
A. What is Matplotlib?
B. Pyploy API
C. PyLab Module
D. Simple Plot
Chapter 2: Object Oriented Matplotlib
A. Object oriented interface
B. Figure class
C. Axes class
D. Transforms
Chapter 3: Multiple Plots
A. Multiplots
B. Subplots function
C. Subplot2grid function
Chapter 4: Formatting Plots
A. Grids
B. Formatting axes
C. Setting limits
D. Setting ticks and tick labels
E. Twin axes
Chapter 5: Types of Plots
A. Bar plot
B. Stacked bar chart
C. Histogram
D. Pie chart
E. Scatter plot
F. Contour plot
G. Quiver plot
H. Box plot
I. Violin plot
Chapter 6: Three Dimensional Plotting
A. Three dimensional plotting
B. Three dimensional contour plot
C. Three dimensional wireframe plot
D. Three dimensional surface plot
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

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Currently working as Associate professor in engineering institute. Completed BE Computer Science and Engineering, MTech in Computer Science and Technology, PhD in Computer Science and Engineering. Academician with 16 years of teaching experience. Taught more than 20 subjects at undergraduate and post graduate level. Guided 35+ projects are UG level and 20+ projects at PG level.

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