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Description of  Top 10 Data analytics & Data visualization using matplotlib

Last updated 5/2022 Duration: 3h 6m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.13 GB Genre: eLearning | Language: English 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 Requirements Python programming language Python numpy package 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 matplotlib'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