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Data Visualization with Python Masterclass | Python A-Z [Free Online Course] - TechCracked

Data Visualization with Python Masterclass | Python A-Z

Learn python and how to use it to data analysis and visualization, present data. Includes codes of data vizualisation.

This course includes:

  • 10 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion


What you'll learn

  • Fundamental stuff of Python and OOP
  • What is the Data Science and Data Literacy
  • Fundamental stuff of Numpy and Pandas library
  • What is Data Visualization
  • The Logic of Matplotlib
  • What is Matplotlib
  • Using Matplotlib
  • Pyplot – Pylab - Matplotlib
  • Figure, Subplot, Multiplot, Axes,
  • Figure Customization
  • Data Visualization
  • Plot Customization
  • Grid, Spines, Ticks
  • Basic Plots in Matplotlib
  • Seaborn library with these topics
  • What is Seaborn
  • Controlling Figure Aesthetics
  • Color Palettes
  • Basic Plots in Seaborn
  • Multi-Plots in Seaborn
  • Regression Plots and Squarify
  • Geoplotlib with these topics
  • Data Vizualisation
  • What is Geoplotlib
  • Tile Providers and Custom Layers
  • Ptyhon
  • Data Vizualization
  • Data Science
  • Machine Learning
  • data analysis and visualization
  • Data Visualisation
  • Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job.
  • you’re interested in learning Tableau, D3 js, After Effects, or Python, has a course for you.
  • Python Programming
  • Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Machine Learning, and more!


Description

Hello dear friends.

Welcome to the "Data Visualization with Python Masterclass | Python A-Z" course.

Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job. Whether you’re interested in learning Tableau, D3.js, After Effects, or Python, Udemy has a course for you.

In this course, we will learn what is data visualization and how does it work with python.

This course has suitable for everybody who interested data vizualisation concept.

First of all, in this course, we will learn some fundamentals of pyhton, and object oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take our journey to the Data Science world. Here we will take a look at data literacy and data science concepts. Then we will arrive at our next stop. Numpy library. Here we learn what is numpy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we'll enter the Matplotlib world then we exit the Seaborn world. Then we'll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.

Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.

In this course, you will learn data analysis and visualization in detail.

Also during the course you will learn

Fundamental stuff of pyhton and OOP, Overview of Jupyter Notebook and Google Colab.

What is the Data Science and Data Literacy

Fundamental stuff of Numpy and Pandas library in data analysis.

What is Data Vizualization

The Logic of Matplotlib

  • What is Matplotlib
  • Using Matplotlib
  • Pyplot – Pylab - Matplotlib - Excel
  • Figure, Subplot, Multiplot, Axes,
  • Figure Customization
  • Plot Customization
  • Grid, Spines, Ticks
  • Basic Plots in Matplotlib
  • Overview of Jupyter Notebook and Google Colab

Seaborn library with these topics

  • What is Seaborn
  • Controlling Figure Aesthetics
  • Color Palettes
  • Basic Plots in Seaborn
  • Multi-Plots in Seaborn
  • Regression Plots and Squarify

Geoplotlib with these topics

  • What is Geoplotlib
  • Tile Providers and Custom Layers

And of course, we enhanced all of it lots of examples with different concept and level. I bet you will like it.


Also See : Data Visualization in Python Masterclass™: Beginners to Pro

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