Data Visualization Guide

Data Visualization Guide

Data Visualization Guide

Data visualization with Matplotlib

Language: english

Note: 0/5 (0 notes) 187 students

Instructor(s): Franklyn Fosu

Last update: None

What you’ll learn

  • Plot data
  • Visualize simple data
  • Identify various matplotlib methods
  • Manipulate basic visuals

 

Requirements

  • Internet
  • Python 3
  • Anaconda(Jupyter notebook)
  • No experience required

 

Description

Welcome to this Data Visualization course for all. This course will teach you hands-on practice on generating visualizations in python and also intuitively use Google Data Studio services to analyze, create and visualize data from Google spreadsheet, covid 19 dataset, YouTube channel data sets and so much more. The interesting thing is that no coding skill is required for Google data visualization. All you need is to your google account, connect or upload your data from the connected google services and external services provided embedded in the website. This is a very useful tool for marketers, business analysts, and data analysts to help people generate reports on their data without having to learn to program or pay exorbitant hiring fees from expert services. The reports generated are very interactive, responsive, and can update in real-time. Google data studio helps you to add formulas and parameters and other inputs to help you customize your search, analysis, and report generation. Just drag and drop some controls to make your dashboard even more interactive for your customers. There are lots of Bar charts, Line charts, Pie charts, Geo Charts, Google maps, Time series, scatter charts, treemaps, gauges, and scorecards. After taking this course, you should be able to create your own interactive dashboards and generate insights from various data sources.

 

Who this course is for

  • Begginers
  • Python enthusiats
  • Educators

 

Course content

  • Introduction
    • What is Data Visualization
  • Plotting Basics
    • Plotting-Getting Started
    • Line Properties
    • Marker-Properties
    • Legend-Label and Title
    • Grid
  • Types of Plots
    • Bar
    • Histogram
    • Pie
    • Scatter Plot
    • Box
  • Bonus
    • Bonus

 

Data Visualization GuideData Visualization Guide

 

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