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Data Visualization Using
Matplotlib Training

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New Batches Starts For Data Visualization Using Matplotlib Training From November

New Batches Starts For Data Visualization Using Matplotlib Training From November

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Data Visualization Using Matplotlib Training

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with Matplotlib – Data Visualization too

  • Vetted curriculum by Industry experts
  • Real-Time Experienced Trainers
  • Hands-On Learning
  • Extensive Career support
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  • Course Duration : 14 Weeks
  • Level : All Levels
  • Instructor-Led Training : Yes
  • Live Classroom: Yes
  • Live-Online : Yes

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14
Weeks Duration
8
Hr/Week Therory
24
Hr/Week Lab
29
Students
  • NumPy and Creating Ndarrays
  • Indexing in Ndarrays
    1. Indexing in Multi-dimensional Ndarrays
  • Ndarray Properties
  • NumPy Constants
  • Slicing Ndarrays
  • Creating Ndarrays in many ways
  • Matplotlib
  • Visualization with Matplotlib
  • Single-Line & Multiline Plots
  • Grid, Axes, and Labels
  • Colors, Styles, and Markers
  • Object-Oriented Plotting
  • Subplots
  • Styles
  • Layouts
  • Lines and Logs
  • Error Bars
  • Bar Graphs
  • Scatter Plot
  • Histograms
  • Contours
  • Visualizing Vectors with Stream Plots
  • Visualizing Images
    1. Masking
  • Interpolation Methods
  • Audio Visualization
  • Audio Processing

Pie & Polar Charts

Using pcolor(), pcolormesh(), and colorbar() functions

  • Plotting 3D Lines
  • 3D Scatter Plots
  • 3D Contours
  • Wireframes, Surfaces, and Sample Data
  • Bar Graphs
  • Quiver and Stem Plots
  • 3D Volumes
  • Animation Essentials
  • Celluloid: Library
  • Visualizing a Function as an Image
  • Visualizing a Function as a Contour
  • 3D Vignettes
  • Decorated Scatter Plots
  • Time Plots and Signals
  • Filled Plots
  • Step Plots
  • Hexbins
  • XKCD Style
  • Introduction
  • Series
  • Basic Operations on Series
  • Dataframe
  • Writing Files with NumPy
  • Reading Files with NumPy
  • Reading the Data from a CSV File with NumPy
  • Matplotlib CBook
  • Reading Data from a CSV
  • Reading Data from an Excel File
  • Reading Data from JSON
  • Reading Data from a Pickle File
  • Reading Data from the Web
    1. Interacting with the Web API
  • Reading Data from a Relational Database Table
  • Reading Data from the Clipboard
  • Simple Plots
  • Bar Graphs
  • Histograms
  • Box Plots
  • Area Plots
  • Scatter Plots
  • Hexagonal Bin Plots
  • Pie Charts
  • Introduction to Seaborn
  • Plotting Statistical Relationships
  • Plotting Lines
  • Visualizing the Distribution of Data

Testimonial's

K. Varun

The training program is well organized and straightforward. I enjoyed the lectures which allowed me to apply my theoretical knowledge. I am confident that I can use this knowledge to create data visualization dashboards. Thank you!

V. Sonali

Highly recommended for beginners and professionals who want to learn Data Visualization with Matplotlib and get started creating dashboards right away for a Data Visualization.

Ch. Tulasi

This training is perfect for anyone who wants to learn Data Visualization with Matplotlib and create stunning dashboards. The concise, step-by-step instructions will have you up and running in no time.

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